Healthcare analytics, AI solutions for biological big data, providing an AI platform for the biotech, life sciences, medical and pharmaceutical industries, as well as for related technological approaches, i.e., curation and text analysis with machine learning and other activities related to AI applications to these industries.
[Zoom link will be sent on a day before at 5PM EST]
Business Side
11:00AM EST – 1 or 2 PM EST
John Snow Labs with Domain Experts in Cancer & Oncology and Cardiovascular Diseases
Science Side
3PM EST – 5PM EST
2025 Grok 4.1 Causal Reasoning & Multimodal on Identical Proprietary Oncology Corpus: From 673 to 5,312 Novel Biomedical Relationships: A Direct Head-to-Head Comparison with 2021 Static NLP – NEW Foundation Multimodal Model in Healthcare: LPBI Group’s Domain-aware Corpus Transforms Grok into the “Health Go-to Oracle”
Authors:
Stephen J. Williams, PhD (Chief Scientific Officer, LPBI Group)
[INTERNAL, Business] Proposal: Japan Buyer/Partner Sourcing Pilot
On Sep 27, 2025, at 4:09 PM, Karen Onuma-Mielke <karen@globaldeal.io> wrote:
Case Study: Intermountain Healthcare Creates a Digital Health Platform for Growth and Agility
11 July 2025 – ID G00768879 – 7 min read
By: Andrew Meyer, Mike Jones Initiatives:
Healthcare Provider Technology Insights; Integrate Technology to Achieve
Business Outcomes
This case study illustrates how an extensive healthcare system
embraced composability for building their future application
architecture. Healthcare CIOs can apply these best practices when
launching digital initiatives to tackle complex digital
transformation.
From: “Stephen J. Williams” <stephen.williams0002@temple.edu> Date: Monday, November 3, 2025 at 1:32 PM To: Aviva Lev-Ari <aviva.lev-ari@comcast.net> Subject: InterMountain Health Case Study by Gartner
All of My Employees Are AI Agents, and So Are My Executives
Here’s another video update about what’s going on at eXoZymes (Nasdaq: EXOZ), as seen from my perspective. The most important takeaway this month, is that we have the Q3 earnings call coming up this Thursday – you can sign up for that right here: https://lnkd.in/gcVq8H8t
From: “WordPress.com News” <donotreply@wordpress.com> Date: November 10, 2025 at 1:18:42 AM EST To: avivalev-ari@alum.berkeley.edu Subject: Weekly digest for WordPress.com News, on November 10, 2025
↳ Clearly tell the model who it should act as, the outcome you want, and the limits or boundaries it must not cross.
2. Provide Layered Context ↳ Share information in a structured order: background first, rules second, and the actual task last, so the model can process it logically.
3. Put Key Instructions at the End ↳ The model pays strong attention to the last lines, so save your most important directions for the end of your prompt.
4. Apply a Chain of Verification ↳ Break the work into steps, check each one for mistakes, and only move forward once the previous step is validated.
5. Use Dual-Pass Responses ↳ Have the model draft a first version, then refine it against a self-check rubric to improve accuracy and quality.
6. Enforce “I Don’t Know” Honesty ↳ Tell the model to admit uncertainty instead of fabricating. This reduces the risk of polished but wrong answers.
7. Adopt Multiple Viewpoints ↳ Ask the model to solve from two or more perspectives, then merge the best elements from each angle.
8. Use Clear Structural Delimiters ↳ Write key rules, data, or constraints inside fences (“` or XML tags) so instructions stay clear and separate.
9. Guide with Examples ↳ Provide the model with two good examples and one poor example before asking for output to set quality expectations.
AI Model companies –Foundation model platforms in healthcare
For model companies, the hook is simple: LPBI Group’s corpus is domain‑expert, rights‑clean, and ingestion‑ready. That’s rare and valuable.
Subject: Full acquisition: ontology‑labeled healthcare corpus with clean training rights
We’re selling, in full, a multimodal, expert‑curated healthcare corpus mapped to a living ontology: 6,250 articles, 48 e‑books (EN/ES), 100 e‑proceedings, 7,500 biological images with expert context, and 300+ podcasts. Rights are centrally assigned with explicit model‑training sublicenses; metadata export is available now, and full bodies/media transfer via account control enables immediate ingestion. If your roadmap includes continued training, high‑precision RAG, or multimodal grounding, this asset is purpose‑built. Open to NDA for a dataset map and diligence package.
Model companies Full acquisition of LPBI’s rights‑clean, expert‑curated healthcare corpus mapped to a living ontology. 6,250+ articles, 48 e‑books, 100+ e‑proceedings, 7,500+ annotated bio‑images, 300+ podcasts with timestamps, roles, crosslinks, and view histories. Provenance supports safe pretraining, domain evals, fine‑tuning, and safety alignment. Metadata export ready; full text/media transfer for immediate ingestion. Explicit rights for model training across SLMs/LLMs. Full acquisition only. NDA preview available.
Model companies Lead with provenance and immediacy. Name it as rights‑clean, expert‑curated, ontology‑mapped healthcare data that’s ingestion‑ready for pretraining, evals, fine‑tuning, and safety work.
Healthcare platforms –Healthcare data and clinical knowledge platforms
Healthcare platforms LPBI offers full acquisition of a clinically rich, rights‑clean corpus
Subject: Full sale of expert‑curated healthcare corpus, ontology‑ready
We’re pursuing a full sale of a curated healthcare content corpus with timestamps, authorship/roles, crosslinks, and engagement tied to an active ontology. Assets span articles, e‑books, conference proceedings, biological images with expert captions, and podcasts. Centralized rights enable rapid productization in CDS, search, education, and analytics. We can share a dataset map and packaging plan under NDA.
Power care pathways, CDS, and patient education with immediate ingestion via metadata export and full text/media transfer. Enterprise‑ready provenance.
Clinical depth and structured metadata. Position it to power care pathways, CDS, and patient education with fast onboarding via existing exports. Close with enterprise‑ready rights, full acquisition only, and your email
Strategic acquirers in pharma ofVertical AI startups with data‑moat strategies
Pharma strategics Acquire LPBI’s end‑to‑end, rights‑clean healthcare knowledge base to accelerate R&D, medical affairs, and safety. Ideal for and with acceleration of R&D, medical affairs, and safety. Emphasize compliant internal copilots and evidence synthesis enabled by expert curation and living ontology. Close with rapid onboarding under NDA Metadata export plus full text/media transfer for rapid onboarding. Full acquisition only.
Subject: Buy the moat: full acquisition of expert healthcare corpus with clean rights
We’re selling the entire asset: a privately held, multimodal healthcare corpus with centralized training rights and an exportable ontology, validated on gene–disease–drug extraction. It’s ingest‑ready and transfers cleanly via account control plus a metadata export. If owning differentiated data is critical for your agent or workflow, we can provide a diligence preview under NDA.
compliant internal copilots and evidence synthesis enabled by expert curation and living ontology. Close with rapid onboarding under NDA
IF REFERAL is used
I’d like to introduce Aviva Lev‑Ari, founder of LPBI Group. She’s selling a full, rights‑clean, expert‑curated healthcare corpus mapped to a living ontology, already packaged for immediate model ingestion and suitable for safe pretraining, evals, and fine‑tuning. If healthcare domain data is on your roadmap, this is a rare, defensible asset worth a quick NDA preview; Aviva is at avivalev-ari@alum.berkeley.edu
We created names of companies and Executives in 1,2,3, above.
@@@@@@@@
Agenda for October 21, 2025
11:00AM EST – 5:30PM EST
[Zoom link will be sent on a day before at 5PM EST]
Business Side
11:00AM EST – 1PM EST
No exclusive will be extended again.
Phone conversation with M.L. on 10/15/2025
He will come to visit the week of 10/21/2025
He will work alone on LPBI Group account
Report on OUTREACH at 2025 Applied AI Summit by John Snow Labs
Report on OUTREACH with sources from #WMIF2025
From: Aviva Lev-Ari <aviva.lev-ari@comcast.net> Date: Thursday, October 9, 2025 at 7:15 PM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: SIX on X.com from 2025WMIF
Report on OUTREACH using script by Assistant to BH of HubSpot
1PM – 2PM New Potential Actor on behalf of LPBI Group
From: Amazon via LinkedIn <newsletters-noreply@linkedin.com> Date: September 30, 2025 at 3:53:04 PM EDT To: “Aviva Lev-Ari, PhD, RN” <avivalev-ari@alum.berkeley.edu> Subject: Breaking: Everything announced at Amazon’s Devices & Services event, and more news
TRAINING & INFERENCE RL NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill…
➝ Go to grok .com in Safari ➝ Click File > Add to Dock… ➝ Name your web app (it’s usually auto-filled) ➝ Click Add ➝ Web app automatically appears in your Dock & is searchable in “Spotlight” ➝ Once opened, the web app’s User Interface (UI) will be simplified, as if it were an app downloaded from the App Store This makes accessing Grok much faster and more seamless than ever
Thanks again for our conversation on LinkedIn and the details you provided.
As discussed, we’ve reviewed your needs and believe GlobalDeal can support your goals in Japan. Below is a suggested 3-month pilot scope to validate buyer/licensing interest and warm up strategic conversations.
Deliverables:
Partner/buyer landscape (segmented)
5-8 qualified targets
3 warm intros to relevant decision-makers
Pricing & Success Fees
Base fee: $400/month
Milestone success fees:
$1,000 — 3 verified warm intros
$3,000 — Signed NDA or LOI with buyer/partner
$5,000 flat success fee per signed licensing, JV, or acquisition agreement (Applies to deals initiated within 12 months of introduction).
Let me know if this aligns with your expectations or if you’d like to adjust any aspect.
Happy to discuss details in a call.
Best regards,
Karen
Here’s how to instantly open Grok AI Assistant with the Action Button on iPhone
[Siri doesn’t have any real assistant capabilities. It can’t answer basic questions, struggles with simple tasks, and is seriously limited]
Grok AI is a fully capable assistant, answers in real-time and does quick web search when needed automatically without needing to do anything Here’s how to make Grok as your go-to assistant with the Action Button: ➝ Open Settings ➝ Tap on Action Button ➝ Swipe to select Shortcut ➝ Tap to choose a shortcut ➝ Search for the Grok App ➝ Select “Talk to Grok” as your action DONE Now Press & Hold Action Button = Instant Grok Access You can trigger Grok from the Lock Screen or any app with your Action Button Make sure the Grok app is updated for the best experience Apple still restricts third-party voice assistants, even though it can’t offer what they can But this shortcut is by far the smoothest way to access Grok on iPhone
Introducing Tasklet: AI agents for automating your business. Unlike ChatGPT, Tasklet connects with all the tools you use: thousands of integrations + any API or MCP server. No API? No problem! It can use it’s own computer. Then it runs 24/7, triggering automatically as needed.
John Snow Labs is a private company. Founded in 2015 and headquartered in Lewes, Delaware, it operates as a privately held entity focused on healthcare AI and natural language processing (NLP) solutions, such as Spark NLP and medical language models. The company is self-funded, profitable, and has no external investors or debt, as stated on its official “Our Story” page. Independent sources like Crunchbase and Tracxn confirm it is unfunded and not publicly traded, with no records of funding rounds, IPOs, or acquisitions indicating a shift to public status. It remains independently owned, serving clients in healthcare and life sciences without public stock listings.
David Talby
Chief Executive Officer (CEO) and Chief Technology Officer (CTO)
HubSpot, a leading CRM and marketing platform, has integrated agentic AI through its Breeze suite and related tools, making it particularly useful for healthcare organizations focused on patient acquisition, engagement, and retention. While HubSpot isn’t a clinical AI provider (e.g., for diagnostics), its agentic features excel in marketing, sales, and customer service—areas critical for healthcare providers, pharma companies, and medical tech firms to grow their “patient pipelines” efficiently and compliantly
HubSpot’s agentic AI empowers healthcare marketing to be proactive and patient-centered, driving growth while maintaining trust. For a demo or tailored setup, visit hubspot.com/healthcare. If this is about a specific aspect (e.g., implementation), provide more details!
Rationale: Cost per token is the WRONG metric to focus on. As businesses integrate generative AI into real workflows, they are facing rising costs due to “token explosion” in large language models (LLMs), where complex tasks require exponentially more tokens. Our analysts rated this article as essential because it challenges misconceptions about AI cost deflation and underscores the critical need for leaders to understand total cost of ownership—not just per-token pricing—as they scale AI solutions. Theo Browne, CEO of T3 Chat, has an excellent video explainer about LLM cost here.
Dr. Williams will present a case study where he takes ChatGPT and Knowledge Graphs (KG) and use them to analyze his original curation of 9/5/2014 comparing head to head
the power of our curation versus ChatGPT alone,
showing how powerful our curations are
showing how robust, reproducible and scalable our biomodel of scientific curation is
Case Study: Human Curation vs. AI tools: ChatGPT & Knowledge graphs Output
Multiple Lung Cancer Genomic Projects Suggest New Targets, Research Directions for Non-Small Cell Lung Cancer
An EAW MUST ADD NEW CONTENT to let GPT 5 start to do parallel reasoning
OpenAI Launches Two New Open Source Models
On August 5, OpenAI released two new open source AI models:
· gpt-oss-120b (a 120-billion-parameter Mixture-of-Experts model) and
· gpt-oss-20b (a smaller, 20-billion-parameter model).
Both are available under the permissive Apache 2.0 license, enabling free download, customization, and local deployment. These models are designed for reasoning tasks, tool use, and agentic capabilities, and has a 128K context window. Notably, they can run on a laptop or smartphone. However, they are text-only and do not support multimodal inputs such as images or video.
gpt-oss-20b can run on consumer hardware, such as a high-end laptop with a 16GB GPU. I am impressed by the near-parity with OpenAI’s proprietary models, such as o4-mini, on reasoning benchmarks. While some developers noted potential performance issues, these new models are remarkably strong initial efforts and are highly competitive with leading Chinese open source models.
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction “we introduce FutureX, a dynamic and live evaluation benchmark specifically designed for LLM agents performing future prediction tasks. FutureX is the largest and most diverse live benchmark for future prediction, supporting real-time daily updates and eliminating data contamination through an automated pipeline for question gathering and answer collection. We evaluate 25 LLM/agent models, including those with reasoning, search capabilities, and integration of external tools such as the open-source Deep Research Agent and closed-source Deep Research models.”
RL Is Neither a Panacea Nor a Mirage: Understanding Supervised vs. Reinforcement Learning Fine-Tuning for LLMs “RL primarily counteracts SFT-induced directional drift rather than finding new solutions. Our spectrum-aware analysis highlights inexpensive recovery knobs low-rank UV merging and shallow-layer resets that practitioners can use before costly RL fine-tuning.”
Understanding the future of healthcare and AI
On-demand webinar
The recording of this on-demand webinar is available to watch immediately after registering.
From: “Dr. Ashish Bamania from Into AI” <intoai@substack.com> on behalf of “Dr. Ashish Bamania from Into AI” <intoai@substack.com> Reply-To: “Dr. Ashish Bamania from Into AI” <reply+2ua90s&8t4ds&&a63078d8d3a6918f74f39993f5af0af0dcc28dc58bc8de12a7777ce63b27a2fe@mg1.substack.com> Date: Sunday, August 24, 2025 at 8:42 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: LLMs: Common terms explained, simply
Subject: Ontology Matching (OM)
In the field of Artificial Intelligence, the abbreviation OM most commonly stands for Ontology Matching.
Ontology Matching is a core task in areas related to knowledge representation and data integration, particularly in AI research. It involves establishing correspondences or mappings between different ontologies, which are formal representations of knowledge within a specific domain. These ontologies define a set of concepts and the relationships between those concepts.
Therefore, when you see “OM” in the context of AI, it is highly likely referring to Ontology Matching.
Ontology matching (OM) enables semantic interoperability between different ontologies and resolves their conceptual heterogeneity by aligning related entities. OM systems currently have two prevailing design paradigms: conventional knowledge-based expert systems and newer machine learning-based predictive systems. While large language models (LLMs) and LLM agents have revolutionised data engineering and have been applied creatively in many domains, their potential for OM remains underexplored. This study introduces a novel agent-powered LLM-based design paradigm for OM systems. With consideration of several specific challenges in leveraging LLM agents for OM, we propose a generic framework, namely Agent-OM (Agent for Ontology Matching), consisting of two Siamese agents for retrieval and matching, with a set of OM tools. Our framework is implemented in a proof-of-concept system. Evaluations of three Ontology Alignment Evaluation Initiative (OAEI) tracks over state-of-the-art OM systems show that our system can achieve results very close to the long-standing best performance on simple OM tasks and can significantly improve the performance on complex and few-shot OM tasks.
Are AI capabilities making learning to code obsolete? Not according to the leaders at Kode With Klossy, who say that coding can lead to many career skills that apply across industries.
Karlie Kloss, founder of Kode With Klossy (KWK), and Osi Imeokparia, KWK’s CEO, say the process of coding builds more career skills than knowing how to write instructions for a computer. On this episode of At the Edge podcast, they speak with McKinsey Senior Partner Lareina Yee about how KWK’s programs teaching 13-to-18-year-old young women and gender-expansive teens how to code help enable the students to develop critical thinking skills, improve their problem-solving abilities, and participate confidently in tech careers and beyond.
The following transcript has been edited for clarity and length.
AI is reshaping industries far beyond tech. In McKinsey’s latest state of AI survey, 78 percent of respondents said their organizations use the technology in at least one business function—up from 55 percent in 2023. As gen AI accelerates this shift, it’s never been more important to understand the broader landscape of technology. To help you stay informed, explore nine must-read books recommended by leaders in technology, publishing, the public sector, and more. For even more ideas, check out “What to read next: McKinsey’s 2025 annual book recommendations,” featuring contributions from more than 45 global executives, editors in chief, and McKinsey leaders.
AI’s great brain robbery — and how universities can fight back
ChatGPT and its like have swept through academia, changing how students work, write and think. The bots are here to stay, so we need to reimagine learning
Award-winning AI & Automation Expert, 20+ years | Agentic AI Pioneer | Keynote Speaker, Influencer & Best-Selling Author | Forbes Tech Council | 2 Million+ followers | Thrive in the age of AI and become IRREPLACEABLE ✔️
UC Berkeley Sutardja Center for Entrepreneurship and Technology (SCET)
🚨 Free Webinar – July 10, 5–5:30 PM PT
Agentic AI is here — and it’s powerful, unpredictable, and fast-evolving. Join Shomit Ghose (Partner, Clearvision Ventures & UC Berkeley Faculty) as he unpacks AI’s Dr. Jekyll & Mr. Hyde moment, diving into the dual nature of agentic AI: its breakthroughs in memory, planning, and tool use — and the risks of error chains and runaway reasoning. 🎯 Learn what professionals must master to drive responsible innovation as AI systems gain autonomy.
Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task – MIT Media Lab
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI’s role in learning.
#Meta is set to invest around $10 billion into the data labeling startup hashtag#ScaleAI, Bloomberg reported, making it the latest big corporate venture check into an AI startup.
Corporate participation in hashtag#AI funding rounds has been growing, going from 54.3% of all US VC AI deals in terms of transaction value in 2022 to 74.7% so far this year, according to PitchBook data. Big tech companies are placing their bets on the select AI companies they believe will win the current boom.
Researchers at the University of California, Berkeley’s Innovative Genome Institute (IGI) worked with the boy’s physicians at the Children’s Hospital of Philadelphia (CHOP) to test the safety and efficacy of a CRISPR base-editing therapy hospital doctors had developed. The tests helped fast-track approval of the new therapy by the U.S. Food and Drug Administration.
Starting today, you can upload your own files and images into Deep Research, one of our top requested features. Soon, you’ll even be able to connect your Google Drive and Gmail so you can pull info from there, too.
“Code with Claude” developer conference, their CEO, Dario Amodei, was asked when he thinks we’ll see the first billion-dollar company with just one human employee.
The Apheris product is used by some of the largest global life sciences organizations to collaborate on sensitive, proprietary data across teams, borders, and organizations.
Our customers unlock the value of complementary data and collaboratively train machine learning models on their distributed datasets to improve accuracy and generalizability to meet the precision required for industrial settings.
Meet our exec team
Robin Röhm, Co-Founder & CEO
Robin studied medicine, philosophy and mathematics and was trained in global banking at UBS. In one of his previous start-ups, he lost multiple customers as data couldn’t be centralized due to regulatory constraints. He is driving the vision, strategy, and culture of Apheris.
Michael Höh, Co-Founder & CTO
Michael has a PhD in physics and computer science. He was trained at BCG where he built digital solutions and AI applications for industrial clients. As CTO he leads our platform architecture and design, our engineering target picture, technical customer commitments and legal and contractual scoping.
Aviva developed HumanExpert Systems at SRI, Menlo Park, CA, 1985 – 1988
2025 – THE AI Expert = Super AI
A global leader in R&D with deep roots in Silicon Valley, SRI is an independent nonprofit research institute with a rich history of supporting government and industry. For almost 80 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.
Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with
Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard ( in ) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: – (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. – (2)
Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: – SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning – SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use – SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
Snorkel AI × Anthropic × AWS Pharma leader turned data complexity into real AI impact: faster modeling, better decisions, and enterprise-grade trust. AI-ready data starts here
Seeking to build an AI system that could extract, analyze, and present insights from vast, complex datasets, the company partnered with Snorkel AI, Amazon Web Services (AWS), and Anthropic. The company sought the trustworthy results of Anthropic’s Claude models, the security and cost controls of Amazon Bedrock, and the ability to rapidly, expertly, and reliably curate training data provided by the Snorkel AI Data Platform—which integrates natively with AWS.
Combining these tools, the firm created an agentic AI co-pilot capable of better navigating its data, unlocking critical business insights, and driving decision-makers’ ability to identify opportunities and challenges across its operations.
Tuesday, April 1, 2025, 6:15 PM 7:45 PM, The Center for Government and Civic Service, ACC Rio Grande: Building 30001218 West Avenue Austin, TX, 78701United States
The Rundown: Google just dropped a new update preview to its Gemini 2.5 Pro model, calling it the company’s “most intelligent model yet” — with notable jumps on coding, STEM, reasoning, and image understanding benchmarks.
The details:
The new model shows major performance gains, extending its lead on user-preference leaderboards like LMArena and WebDevArena.
Google specifically addressed user feedback on the previous version to fix performance regressions in non-coding tasks like creative writing.
The update also brings “thinking budgets” in the API to manage cost and latency, with the preview set to become an official release in the coming weeks.
The upgraded preview is accessible to devs via the Gemini API in AI Studio and Vertex AI, while also being deployed to the public-facing Gemini app.
Why it matters: Just weeks after its coding-enhanced 2.5 Pro I/O update, the tech giant is at it again with another upgrade that brings broader quality upgrades across the board. Google extends its lead on the leaderboards, and is also changing the release dynamic — opting for frequent ‘preview’ drops before a full model launch.
SOURCE
From: The Rundown AI <news@daily.therundown.ai> Reply-To: The Rundown AI <news@daily.therundown.ai> Date: Friday, June 6, 2025 at 6:36 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: 🏆 Google’s Gemini update raises the bar
Google DeepMind’s Demis Hassabis on AGI, Innovation and More – The New York Times
Reinforcing Generator and Verifier Together for Language Reasoning “we propose Tango, a novel framework that uses RL to concurrently train both an LLM generator and a verifier in an interleaved manner. A central innovation of Tango is its generative, process-level LLM verifier, which is trained via RL and co-evolves with the generator. Importantly, the verifier is trained solely based on outcome-level verification correctness rewards without requiring explicit process-level annotations.”
Sharing new breakthroughs and artifacts supporting molecular property prediction, language processing, and neuroscience
May 14, 2025
Takeaways
Meta FAIR is sharing new research artifacts that highlight our commitment to achieving advanced machine intelligence (AMI) through focused scientific and academic progress.
The work we’re sharing includes Open Molecules 2025, a dataset for advancing molecular discovery, and Meta’s Universal Model for Atoms.
We’re also sharing advancements in learning diffusion processes ideal for machine learning projects and a joint study between Meta and the Rothschild Foundation Hospital that seeks to decode how humans learn language.
By making our research widely available, we aim to provide easy access for the AI community and help foster an open ecosystem that accelerates progress, drives innovation, and benefits society as a whole, including our national research labs.
As we work toward achieving our goal of advanced machine intelligence (AMI), we’re excited to announce new releases from our Meta Fundamental AI Research (FAIR) team. Today, we’re releasing several groundbreaking models, benchmarks, and datasets that will transform the way we approach molecular property prediction, language processing, and neuroscience. These advancements are the result of focused scientific and academic progress and represent a significant step towards AMI. By sharing this work with the research community, we aim to accelerate progress, foster collaboration, and drive innovation in fields such as molecular property prediction, language processing, and neuroscience.
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
“we introduce QoQ-Med-7B/32B, the first open generalist clinical foundation model that jointly reasons across medical images, time-series signals, and text reports. QoQ-Med is trained with Domain-aware Relative Policy Optimization (DRPO), a novel reinforcement-learning objective that hierarchically scales normalized rewards according to domain rarity and modality difficulty, mitigating performance imbalance caused by skewed clinical data distributions. Trained on 2.61 million instruction tuning pairs spanning 9 clinical domains, we show that DRPO training boosts diagnostic performance by 43% in macro-F1 on average across all visual domains as compared to other critic-free training methods like GRPO.”
[Submitted on 31 May 2025]
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
Clinical decision-making routinely demands reasoning over heterogeneous data, yet existing multimodal language models (MLLMs) remain largely vision-centric and fail to generalize across clinical specialties. To bridge this gap, we introduce QoQ-Med-7B/32B, the first open generalist clinical foundation model that jointly reasons across medical images, time-series signals, and text reports. QoQ-Med is trained with Domain-aware Relative Policy Optimization (DRPO), a novel reinforcement-learning objective that hierarchically scales normalized rewards according to domain rarity and modality difficulty, mitigating performance imbalance caused by skewed clinical data distributions. Trained on 2.61 million instruction tuning pairs spanning 9 clinical domains, we show that DRPO training boosts diagnostic performance by 43% in macro-F1 on average across all visual domains as compared to other critic-free training methods like GRPO. Furthermore, with QoQ-Med trained on intensive segmentation data, it is able to highlight salient regions related to the diagnosis, with an IoU 10x higher than open models while reaching the performance of OpenAI o4-mini. To foster reproducibility and downstream research, we release (i) the full model weights, (ii) the modular training pipeline, and (iii) all intermediate reasoning traces at this https URL.
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
“We therefore introduce adaptive parallel decoding (APD), a novel method that dynamically adjusts the number of tokens sampled in parallel.” “Notably, Dream with ADP surpasses the speed of autoregressive Qwen 7B and even Qwen 0.5B” “We achieve this by defining a multiplicative mixture between the dLLM marginal probabilities and the joint probability of sequences under a small auxiliary autoregressive model.”
From: Aviva Lev-Ari <aviva.lev-ari@comcast.net> Date: Tuesday, June 3, 2025 at 3:14 PM To: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, “Stephen Williams, PhD” <stephenwilliamspharmintell@gmail.com> Subject: Fwd: ⚡ Meta launches AI powered advertisement content creation
These tools apply to any content
⚡ Code generation startups like Cursor and Windsurf have raised billions, using AI to write and complete software code autonomously.
⚡ Big tech companies Microsoft, Google, and OpenAI are also launching AI coding tools, intensifying competition in this booming market.
⚡ Despite rapid revenue growth, many startups operate at a loss due to high costs of AI foundation models and computing power.
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Computer Science > Computation and Language
[Submitted on 8 Jun 2025 (v1), last revised 11 Jun 2025 (this version, v3)]
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in understanding common visual elements, largely due to their large-scale datasets and advanced training strategies. However, their effectiveness in medical applications remains limited due to the inherent discrepancies between data and tasks in medical scenarios and those in the general domain. Concretely, existing medical MLLMs face the following critical limitations: (1) limited coverage of medical knowledge beyond imaging, (2) heightened susceptibility to hallucinations due to suboptimal data curation processes, (3) lack of reasoning capabilities tailored for complex medical scenarios. To address these challenges, we first propose a comprehensive data curation procedure that (1) efficiently acquires rich medical knowledge data not only from medical imaging but also from extensive medical texts and general-domain data; and (2) synthesizes accurate medical captions, visual question answering (VQA), and reasoning samples. As a result, we build a multimodal dataset enriched with extensive medical knowledge. Building on the curated data, we introduce our medical-specialized MLLM: Lingshu. Lingshu undergoes multi-stage training to embed medical expertise and enhance its task-solving capabilities progressively. Besides, we preliminarily explore the potential of applying reinforcement learning with verifiable rewards paradigm to enhance Lingshu’s medical reasoning ability. Additionally, we develop MedEvalKit, a unified evaluation framework that consolidates leading multimodal and textual medical benchmarks for standardized, fair, and efficient model assessment. We evaluate the performance of Lingshu on three fundamental medical tasks, multimodal QA, text-based QA, and medical report generation. The results show that Lingshu consistently outperforms the existing open-source multimodal models on most tasks …
Comments:
Technical Report, 53 pages, 25 tables, and 16 figures
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
Mixture of Experts (MoE) models have emerged as a promising paradigm for scaling language models efficiently by activating only a subset of parameters for each input token. In this report, we present dots.llm1, a large-scale MoE model that activates 14B parameters out of a total of 142B parameters, delivering performance on par with state-of-the-art models while reducing training and inference costs. Leveraging our meticulously crafted and efficient data processing pipeline, dots.llm1 achieves performance comparable to Qwen2.5-72B after pretraining on 11.2T high-quality tokens and post-training to fully unlock its capabilities. Notably, no synthetic data is used during pretraining. To foster further research, we open-source intermediate training checkpoints at every one trillion tokens, providing valuable insights into the learning dynamics of large language models.
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
From: Junfeng Tian [view email] [v1] Fri, 6 Jun 2025 05:51:29 UTC (1,327 KB)
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The Evolving Landscape of LLM Training Data
This article delves into the history of dataset usage, the types of data required at various stages of LLM training, and the challenges faced in sourcing and utilizing these datasets.
Sumyyah Toonsi, Iris Ivy Gauran, Hernando Ombao, Paul N Schofield, Robert Hoehndorf,
Causal relationships between diseases mined from the literature improve the use of polygenic risk scores,Bioinformatics, Volume 40, Issue 11, November 2024, btae639,
For DETAILED BIO by Perplexity.ai and Gemini 2.5 Pro (experimental), see
“Show Thinking” by AI Deep Research: The AI-generated Biography Description of Aviva Lev-Ari, PhD, RN, Founder of PharmaceuticalIntelligence.com by Perplexity.ai and by Google’s Gemini 2.5 Pro (experimental)
Tyler Cowen, Ph.D, is the Holbert L. Harris Professor of Economics at George Mason University. He is the author of 17 books, most recently Talent.: How to Identify Energizers, Creatives, and Winners Around the World. Tyler has been recognized as one of the most influential economists of the past decade. He initiated and directs the philanthropic project Emergent Ventures, writes a blog Marginal Revolution, and a podcast Conversations With Tyler, and also writes columns for The Free Press.” He is writing a new book (and perhaps his last) on Mentors.
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Agenda for April 15, 2025
11AM EST – 5:30PM EST
[Zoom link will be sent on a day before at 5PM EST]
Business Side
11AM EST – 1PM EST
11AM EST – 12:15PM EST
[POSTPONED, DTA – Presentation by and discussion with Michael Benzinou, PhD]
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LLMs are remarkably accurate at replicating some types of human behavior. This opens the door to a whole new way of doing social science research.
Quote
Jacy Reese Anthis
@jacyanthis
Apr 4
Should we use LLMs to simulate human research subjects ? In our new preprint, we argue sims can augment human studies to scale up social science as AI technology accelerates. We identify five tractable challenges and argue this is a promising and underused research method
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Revolutionizing AI Against All Odds | Geoffrey E Hinton | TBCY
Mission: Design of an Artificial Intelligence [AI-built] Healthcare Foundation Model driven by and derived from Medical Expert Content used as Training Data
DeepSeek-V3 and Reasoning Model R1: Four Views (a) Explanations (b) The Chinese Perspective (c) DeepSeek Impact on Demand for Inference Chips & Training Chips, and (d) LPBI Group: Expert Content for ML Models in Healthcare, Pharmaceutical, Medical and Life Sciences
– Aravind Srinivas: Deep dive into founding Perplexity AI – discusses transitioning from academia to entrepreneurship, choosing co-founders, and competing in the AI search space
– Jensen Huang: NVIDIA’s journey from graphics cards to AI dominance – shares insights on pivotal decisions, market timing, and building for the future
– Reed Hastings: Netflix evolution story – covers disrupting established markets, culture building, and managing hypergrowth
Internal Business Side
1PM EST – 2PM EST
Who Does the Thinking: The Role of Generative AI in Higher Education
Recipients of the 2024 National Medal of Technology and Innovation, administered by President Joe Biden and Laureates of the National Medal of Science, administered by NSF
Led by Steve McCarroll and Sabina Berretta, the group looked at postmortem brain tissue of Huntington’s patients and compared it to tissue from individuals without Huntington’s, aiming to see how a specific DNA mutation influences the disease’s pathology. They assert, contrary to early assumptions, that Huntington’s patients don’t slowly deteriorate.
How it evolved with Daphne Koller, Founder & CEO @ Insitro.
She was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, the co-CEO and President of Coursera, and the Chief Computing Officer of Calico Labs. She is the author of over 300 refereed publications with an h-index of 146. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012. She received the MacArthur Foundation Fellowship in 2004, the ACM Prize in Computing in 2008, the ACM AAAI Allen Newell Award in 2019, and the AnitaB.org Technical Leadership Abie Award Winner in 2022. She was inducted into the National Academy of Engineering in 2011 and elected a fellow of the American Association for Artificial Intelligence in 2004, the American Academy of Arts and Sciences in 2014, and the International Society of Computational Biology in 2017.
AI Enabled Drug Discovery w/ Chris Gibson @ Recursion & Daphne Koller @ Insitro |BIOS
Chris Gibson, Co-Founder & CEO @ Recursion
Chris developed the technology and approach that seeded Recursion as part of his MD/PhD work in the lab of Co-Founder Dean Li (current President of Merck Research Labs) while at the University of Utah. After completing his Ph.D., Chris left medical school to build Recursion into the rapidly growing company it is today. Chris is a graduate of Rice University with degrees in bioengineering and management. Chris serves on the Board of BioUtah and is the Chair of BioHive, the public-private partnership driving expansion of Utah’s life-science ecosystem, the fastest growing in the nation. Chris is also active as an advisor and mentor, both formally and informally, of many young biotech founders.
Large language models are rapidly making their way into healthcare, with one in ten doctors using ChatGPT for everyday tasks and some patients turning to AI for self-diagnosis. Despite the enthusiasm, a recent Stanford study highlights significant challenges with LLMs’ reliability in healthcare, particularly around substantiating medical information. Researchers found that even the most advanced LLMs frequently hallucinate unsupported claims or cite irrelevant sources, with models like GPT-4’s retrieval-augmented generation producing unsupported statements up to 30% of the time. These issues are more pronounced for lay inquiries, such as those found on Reddit’s r/AskDocs, suggesting that patients seeking information without a doctor’s mediation may be misled. As AI tools become increasingly common in healthcare, experts urge for more rigorous evaluation and regulation to ensure these systems provide reliable, evidence-based information.
Despite the promise of LLMs in healthcare, we have some major challenges to overcome before they can safely be integrated into clinical practice, Stanford scholars find. Their recent study highlights that while LLMs could alleviate physician workload by handling administrative tasks and answering patient queries, these tools pose safety risks and create errors that could lead to harmful outcomes. Current evaluations of LLMs often rely on curated data rather than real-world patient information, and evaluation efforts are uneven across healthcare tasks and specialties. The research team recommends more rigorous, systematic assessments using real patient data and suggests leveraging human-guided AI agents to scale evaluation efforts.
As mental health needs surge, Stanford medical students Akshay Swaminathan and Ivan Lopez developed an AI tool called Crisis Message Detector 1 (CMD-1) to improve response times for patients in crisis. CMD-1 uses natural language processing to identify and prioritize high-risk messages, enabling rapid triage within a Slack interface where human responders review flagged cases. Tested on data from mental health provider Cerebral, CMD-1 achieved 97% accuracy in identifying urgent cases and reduced patient wait times from over 10 hours to 10 minutes. The project highlights the potential of AI to support clinicians by streamlining workflows and enhancing crisis response in healthcare settings, and underscores the importance of collaborative, interdisciplinary development to meet clinical needs effectively.
The OpenGPT-X project has released its open large language model, Teuken-7B. This model is significant because it supports 24 European languages and is designed to be compliant with European law. It is available on Hugging Face.
OLMo 2 is a newly released, fully open, small language model that comes in 7B and 13B sizes. Both versions claim the best performance in their group.
NVIDIA has announced Fugatto, a new generative text-to-audio model that can create completely new kinds of sounds. They position it as a tool for creators.
Anthropic has announced the developer preview of its Model Context Protocol. MCP allows Claude Desktop to communicate securely with other resources. The MCP server limits the services that are exposed to Claude, filters Claude’s requests, and prevents data from being exposed over the internet.
OpenScholar is an open source language model designed to support scientific research. It’s significantly more accurate than GPT-4o and more economical to run. It uses RAG to access a large database of open-access scientific papers, which ensures that citations are accurate.
Meta has partnered with VSParticle to create new materials from instructions generated by AI. They are focusing on nanoporous materials, which could be catalysts for breaking down CO2 into useful products.
Perplexity has introduced in-app shopping: Users can search for something, then have Perplexity buy it. It’s the first widely available example of an AI agent that changes the state of the physical world.
Mistral has released Pixtral Large, a 124B parameter multimodal model with benchmark performance on a par with the latest versions of other frontier models.
Mozilla’s Common Voice project collects speech samples in languages other than Anglo-American English to help developers build voice-enabled applications using other languages and dialects. The project is open source.
Mechanistic interpretability is a research area that uses AI to examine what’s happening within each layer of a large language model. It provides a path toward AI interpretability: the ability to understand why an AI produces any output that it generates, and possibly to control that output.
Google’s Pixel phones will be able to monitor phone conversations to detect scams in real time. Processing takes place entirely on the phone. The feature is off by default and can be enabled on a per-call basis. Another new feature detects stalkerware, apps that collect data without the user’s consent or knowledge.
The Common Corpus dataset for training large language models is now open and available on Hugging Face. The dataset contains over 2T tokens taken from “permissibly licensed” sources, and it documents the provenance of every source.
OpenAI’s newest model, Orion, is an improvement over GPT-4. But is it a significant improvement? Apparently not. This may be the end of the road for improving LLMs by making them larger. (And is Orion GPT-5?)
FrontierMath is a new AI benchmark that is based on very tough mathematical problems. At this point, no language model scores higher than 2% (Gemini 1.5 Pro).
Standard Intelligence has released hertz-dev, a new model for real-time voice synthesis. It was trained purely on audio and can participate in unscripted conversations without the use of text.
Microsoft’s Magentic-One is a generalist agentic system that is capable of performing complex tasks. Magentic-One is open source for researchers and developers. Microsoft has also released AutoGenBench, an open source tool for evaluating the performance of agentic systems.
ChainForge is a new visual tool for prompt engineering. It can be used to test prompts against multiple models and evaluate the quality of the response.
AI was used to de-age Tom Hanks and Robin Wright in a new film, allowing the actors to play their characters across a 60-year time span.
Anthropic has released Claude 3.5 Haiku, a new version of its smallest and fastest model. The company claims that its performance on many benchmarks is superior to Claude 3 Opus, its previous leading model. Anthropic has also significantly increased the price for using Haiku.
OpenAI has introduced predicted outputs. If the output to a prompt is largely known ahead of time—for example, if you’re asking GPT to modify a file—you can upload the expected result with the prompt, and GPT will make the changes necessary. Predicted outputs reduce latency; apparently they don’t reduce cost.
Fortunately, AI Psychiatry has nothing to do with psychoanalyzing human patients. It’s a forensic tool for postmortem analysis of AI failures that allows investigators to recover the exact model that was in use when the failure occurred.
SmolLM2 is a new small language model, designed for running on devices. It comes in 135M, 360M, and 1.7B parameter versions. Early reports say that its performance is impressive.
vLLM is a framework for serving LLMs. It works with most of the language models on Hugging Face. Not only does it claim to be simpler, but it also claims to have significant performance and cost benefits by using a key-value store to cache input tokens.
AI Flame Graphs show developers what their models are doing in detail. If you’re concerned about performance or energy use, they are revolutionary.
Google’s Project Jarvis is reported to be the company’s answer to Anthropic’s computer use API. Jarvis takes over a browser (presumably Chrome) to perform tasks on behalf of the user.
NotebookLM’s ability to generate a podcast from documents is impressive. Can other models do the same thing? NotebookLlama is an open source project that generates podcasts using the Llama models.
Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds.
2024 Nobel Prize in Physiology or Medicine jointly to Victor Ambros and Gary Ruvkun for the discovery of microRNA and its role in post-transcriptional gene regulation
2024 Nobel Prize in Physiology or Medicine jointly to Victor Ambros and Gary Ruvkun for the discovery of microRNA and its role in post-transcriptional gene regulation
MIT EmTech, Monday, September 30, 2024 – Tuesday, October 1, 2024 on MIT Campus, Cambridge, MA. Big Ideas. Big Decisions. Big Impact. In-person and online
3D Prostate Cancer Estimation Map show “negative margin rate” 45 times greater in AI-detected cases, so the chances of cancer being left behind was far less using Unfold AI technology
3D Prostate Cancer Estimation Map show “negative margin rate” 45 times greater in AI-detected cases, so the chances of cancer being left behind was far less using Unfold AI technology
Update of Business Development (BD) activities in the CRO economic Segment
12PM EST – 1:00PM
Stream Jensen Huang and Antonio Neri at HPE Discover Keynote
Join NVIDIA Founder and CEO Jensen Huang and HPE President & CEO Antonio Neri live at Sphere in Las Vegas for the exciting HPE Discover Keynote on June 18th, 9am PDT.
LPBI Group wish to use NIM for development of our Foundation model using several categories from our Ontology
we experiment with NVIDIA microservices at ai.nvidia.com at no charge.
NVIDIA NIM Revolutionizes Model Deployment, Now Available to Transform World’s Millions of Developers Into Generative AI Developers
June 2, 2024
Availability Developers can experiment with NVIDIA microservices at ai.nvidia.com at no charge. Enterprises can deploy production-grade NIM microservices with NVIDIA AI Enterprise running on NVIDIA-Certified Systems and leading cloud platforms. Starting next month, members of the NVIDIA Developer Program will gain free access to NIM for research and testing.
The Impact of AI on Education, Work, and Jobs: Special Keynote, Gerd Leonhard
Speaker is the BEST on the topic making a distinction between AI and Human Intelligence.
Indirectly, LPBI Group’s curation journal articles and our 48 books are in fact what he describes human intelligence
versus knowledge as found in PubMed which is
1. descriptions of experiments / one at a time
2. Clinical trials: comparison of one treatment vs placibo or treatment A vs Treatment B or treatment A vs treatment B and Treatment C combined
ALL LARGE LANGUAGE MODELS in medicine are trained on PubMed
• ONLY LPBI Group’s content in life sciences, medicine, pharmaceutical is interpretation by experts versus PubMed articles that are scientific reporting by scientists
Therefore, NVIDIA’s head of Medical Models who said they have enough data for Medical models (PubMed) is in fact very wrong.
Today, a lot of LLM output is primarily for human consumption. A human might read around 250 words per minute, which is around 6 tokens per second (250 words/min / (0.75 words/token) / (60 secs/min)). So it might initially seem like there’s little value to generating tokens much faster than this.
But in an agentic workflow, an LLM might be prompted repeatedly to reflect on and improve its output, use tools, plan and execute sequences of steps, or implement multiple agents that collaborate with each other. In such settings, we might easily generate hundreds of thousands of tokens or more before showing any output to a user. This makes fast token generation very desirable and makes slower generation a bottleneck to taking better advantage of existing foundation models.
Fortunately, it appears that both training and inference are rapidly becoming cheaper. I recently spoke with Cathie Wood and Charles Roberts of the investment firm ARK, which is famous for its bullish predictions on tech. They estimate that AI training costs are falling at 75% a year. If they are right, a foundation model that costs $100M to train this year might cost only $25M to train next year. Further, they report that for “enterprise scale use cases, inference costs seem to be falling at an annual rate of ~86%, even faster than training costs.”
I don’t know how accurate these specific predictions will turn out to be, but with improvements in both semiconductors and algorithms, I do see training and inference costs falling rapidly. This will be good for application builders and help AI agentic workflows lift off.
“Oscars of Science” Awards $3 Million Prizes for Advances against Cancer, Cystic Fibrosis, Parkinson’s Disease; Deep Insights into Quantum Field Theory and Differential Geometry.
Breakthrough Prize in Life Sciences Awarded to Carl June and Michel Sadelain; Sabine Hadida, Paul Negulescu and Fredrick Van Goor; Thomas Gasser, Ellen Sidransky and Andrew Singleton.
Breakthrough Prize in Fundamental Physics Awarded to John Cardy and Alexander Zamolodchikov.
Breakthrough Prize in Mathematics Awarded to Simon Brendle.
Six New Horizons Prizes Awarded for Early-Career Achievements in Physics and Mathematics.
Three Maryam Mirzakhani New Frontiers Prizes Awarded to Women Mathematicians for Early-Career Achievements.
Laureates were Honored at Gala Award Ceremony in Los Angeles on April 13, 2024.
September 14, 2023 – San Francisco – The Breakthrough Prize Foundation today announced the winners of the 2024 Breakthrough Prizes, honoring an esteemed group of the world’s most brilliant minds for impactful scientific discoveries, including a subset responsible for substantial progress in the understanding and treatment of major diseases.
Science is an endless revolution. Diseases that looked unbeatable twenty years ago can now be managed or cured. Our deepest physics theories explain the world to staggering precision. And in the realm of mathematics, new ideas are reaching into the borderlands of the unknown. The Breakthrough Prize – popularly known as the “Oscars of Science” – was created to celebrate the wonders of our scientific age by founding sponsors Sergey Brin, Priscilla Chan and Mark Zuckerberg, Julia and Yuri Milner, and Anne Wojcicki.
The Prize’s latest slate of laureates are driving this revolution onwards. They include 11 winners of the Breakthrough Prizes in Life Sciences, Fundamental Physics, and Mathematics, sharing five $3 million prizes between them; 12 early-career physicists and mathematicians sharing six $100,000 New Horizons in Physics Prizes; and three women mathematicians who recently completed their PhDs, each receiving a $50,000 Maryam Mirzakhani New Frontiers Prize. This year’s prize money comes to a total of $15.75 million, bringing the amount conferred over the thirteen years of the Breakthrough Prize to $308 million.
2024 – Life Sciences
This year’s Life Sciences laureates include honorees recognized for key advances in the fight against three major diseases – cancer, cystic fibrosis, and Parkinson’s disease.
Carl June and Michel Sadelain genetically engineered T cells – key players in the body’s immune system – with synthetic receptors termed chimeric antigen receptors (CARs) to instruct T cells to recognize the cancer cellsof individual patients. These CAR T cells have remarkable rates of success against liquid cancers including types of leukemia, lymphoma and myeloma. For some patients, the tumors have been entirely eradicated and have not returned, years after treatment.
Sabine Hadida, Paul Negulescu and Fredrick Van Goor invented the first effective medicines to treat the underlying cause of cystic fibrosis. This deadly disease of the lungs and other organs is caused by a protein that can’t do its job of allowing ions in and out of cells. These researchers discovered four medicines, the latest of which is a triple combination medicine, that enables the protein to function, greatly improving quality of life – and length of life – for people with this disease.
Thomas Gasser, Ellen Sidransky and Andrew Singleton discovered the most common genetic causes of Parkinson’s Disease. Sidransky identified mutations to the gene GBA1, which encodes an enzyme that breaks down fatty substances in cells, as a genetic risk factor for Parkinson’s; while Gasser and Singleton independently showed that mutations in the LRRK2 gene result in increased activity of a protein believed to contribute to neuronal damage in the disease. These discoveries offer clues to the mechanisms that cause the disease, pointing to the role of the lysosome, the cellular organelle that degrades and recycles cellular components.
Fundamental Physics
In fundamental physics, John Cardy and Alexander Zamolodchikov have contributed a lifetime of deep insights into quantum field theories, which describe not only particle physics, but emergent phenomena from magnetism and superconducting materials to the information content of black holes, and have also become a rich field of study in mathematics.
Mathematics
Mathematician Simon Brendle has contributed a series of remarkable leaps in differential geometry, a field that uses the tools of calculus to study curves, surfaces and spaces. Many of his results concern the shape of surfaces, as well as manifolds in higher dimensions than those we experience in everyday life.
“The work of these laureates is very impressive – whether it’s exploring abstract ideas or unraveling the causes of human diseases and producing effective treatments that impact millions of lives.” – Priscilla Chan and Mark Zuckerberg
“Humanity’s collective intelligence is our most significant achievement. Great scientists, and Breakthrough Prize laureates among them, are at the forefront of this incredible phenomenon in our Universe.” – Yuri Milner
“Every year I’m inspired by the ideas, discoveries and commitment to progress of the women and men who win the Breakthrough Prize.” – Anne Wojcicki
LPBI Group is in the admirable position of sitting on a treasure trove of medical literature that would be useful input in the current environment of customized ChatGPTs looking for reliable medical content.
Noon EST – John Lahaye
Update of Business Development activity
Internal Business Side
From: LinkedIn <notifications-noreply@linkedin.com> Date: Monday, March 11, 2024 at 1:25 PM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: Aviva, your posts got 6,554 impressions last week
Sam Altman (@sama), his 2nd time on the podcast. We talk about the board saga, Elon lawsuit, Ilya, Sora, GPT-5, $7 trillion in compute, open source, and AGI. This was a truly fascinating conversation. It’s here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps:0:00 – Introduction 1:05 – OpenAI board saga 18:31 – Ilya Sutskever 24:40 – Elon Musk lawsuit 34:32 – Sora 44:23 – GPT-4 55:32 – Memory & privacy 1:02:36 – Q* 1:06:12 – GPT-5 1:09:27 – $7 trillion of compute 1:17:35 – Google and Gemini 1:28:40 – Leap to GPT-5 1:32:24 – AGI 1:50:57 – Aliens
Lex Fridman @lexfridman
The AI Act is done. Here’s what will (and won’t) change
From MIT Technology Review:
A summary:
The EU is once again at the forefront of a regulatory framework: this time for AI. Here are four takeaways from the MIT Technology Review article
1. Some AI will be banned by the European Union (EU). At the heart of the EU regulation is the AI Act, which has certain safeguards established, namely for protection of political views and personal data. However the Act has been called a failure as there is not enough legislation on facial recognition software
2. Tech companies will be required to identify deepfakes
3. Citizens can voice and report complaints, initiating legal proceedings where they feel AI has personally harmed them
4. AI companies need to become more transparent with regard to software and training data sets
Interestingly Africa is following the EU lead on regulation. It has been a growing concern that LLMs are or could be racially motivated. The regulatory bodies do not want to make the same mistake as with social media. To this effect OPEN AI CTO has been very quiet on what went into their training set and people have voice concerned on inequity surrounding their AI algorithms.
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Agenda for February 20, 2024
11AM EST – 5:30PM EST
Zoom link will be sent on
a day before at 5PM EST
Business Side
11AM EST – 1PM EST
11AM EST – Brad Power
Brad Power, Co-founder and CEO, Cancer Patient Lab
LPBI Group is in the admirable position of sitting on a treasure trove of medical literature that would be useful input in the current environment of customized ChatGPTs looking for reliable medical content.
Noon EST – John Lahaye
Expression of interest in pursuing CROs for introductions of LPBI Group to the top seven CROs
Starting with IQVIA
Shared Linguamatics and LPBI Group Medical Text Analysis Pilot study
LPBI Group MUST jump start its SEEKING ACTIVITIES TO FIND A STRATEGIC BUYER FOR LPBI GROUP’s Portfolio of IP Assets
We do not sell an incorporated business establishment with P&L !!!!!!!!
We are seeking a strategic acquirer for OWNERSHIP TRANSFER of a large [+7 giga bytes of IP]
Portfolio of IP DIGITAL Assets consisting of the following TEN Asset Classes:
2. Not-For Profit Sector – Prof. Feldman to identify Prospects
Please identify top 6 Global Biological Sciences Institutes of Research: i.e., HHMI https://www.hhmi.org/
Share with the Board and Aviva your findings your list of top six
Compose a letter about LPBI Group’s
Portfolio of IP DIGITAL Assets consisting of the above mentioned TEN Asset Classes
Please address your letter to the President of the Institute exploring interest in Ownership Transfer of LPBI Group’s Archive [+7 giga bytes of IP] to their Digital Library Resources
Follow up with a call on each of these six letters to these Institutes
Share your findings with the Board and Aviva
3. Specific economic segments to be assigned to Dr. Williams: Big Pharma
Transfer of Ownership – Search for Strategic Acquirers
For Profit Sector: KKR and Clarivate – S. Henry to lead
N0t-For Profit Sector – Prof. Feldman to identify Prospects
Specific economic segments to be assigned to Dr. Williams
Specific economic segments to be assigned to Aviva
Specific economic segments to be assigned to Dr. Rottem
Embed AI in our content: Mission #1: ML, Mission #2: GPT & Blockchain
From: Paul D’Souza <paul@dsouzagroup.com> Date: Wednesday, January 10, 2024 at 9:16 PM To: Aviva Lev-Ari <AvivaLev-Ari@alum.Berkeley.edu> Cc: Randy Pozos <randypozos@gmail.com> Subject: Follow-up
Aviva on publishing on 12/25/2023 – Audio Podcast LIBRARY
Need for Promotion of this e-Book
“Contributions to Biological Sciences by Scientific Leaders in the 21st Century”
From: Kindle Direct Publishing <kdp-no-reply@amazon.com> Date: Monday, December 25, 2023 at 6:46 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: Your book is available in the Kindle Store!
Hello,
Congratulations, your book “Contributions to Biological Sciences by Scientific Leaders in the 21st Century” is now live and available for purchase in the Kindle Store and enrolled in KDP Select! If you republished your book, your changes will be published based on these timelines.
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2023
Dates for LPBI Group’s Global Zoom
Monthly Board Meetings
with the Team, External Scientific and Business Relations on
Tuesdays
Starting at 11AM EST and Ending at 5PM EST
January 10, 2023
February 7, 2023
March 14, 2023
April 11, 2023
May 9, 2023
June 13, 2023
July 11, 2023
August 15, 2023
September 12, 2023
October 10, 2023
November 14, 2023
December 12, 2023
Agenda for December 12, 2023
11AM EST – 5:30PM EST
Zoom link will be sent on
a day before at 5PM EST
Business Side
11PM EST – 12PM EST
EmTech MIT event hub access The virtual event hub is available to you until February 2024. You’ll have continued access to video recordings, contacts on the attendee list, and any speaker and partner materials provided.
From: The Algorithm from MIT Technology Review Date: Monday, November 13, 2023 at 12:05 PM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: AI is at an inflection point, Fei-Fei Li says
Two things have happened, Li explains. Generative AI has caused the public to wake up to AI technology, she says, because it’s behind concrete tools, such as ChatGPT, that people can try out for themselves. And as a result, businesses have realized that AI technology such as text generation can make them money, and they have started rolling these technologies out in more products for the real world. “Because of that, it impacts our world in a more profound way,” Li says.
We wish to discuss a Pilot Study for Medical Text Analysis
Data Set #1: 74 Text Podcasts
Data Set #2: 74 Text Galectins Articles
We wish to experiment with
A. Wolfram Plug-In for ChatGPT for 1 & 2, above
B. BioGPT for 1 & 2, above
C. We wish to compare the results of A1 with B1
D. We wish to compare the results of A2 with B2
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Agenda for September 12, 2023
11AM EST – 5:30PM EST
Zoom link will be sent on a day before at 5PM EST
Business Side
11AM EST – 1PM EST
12PM EST – 1PM EST Presentation and discussion with Shamil H.
Potential interactions
Realm of opportunities
11AM EST – 12PM EST
Candidates for R&D
Adam Tubman, BSc, MSc – IT/Computer Graphics, Software for Chemists
Sharada Kittur – Synthetic Biology for Drug Discovery
Arav Ganghi – Inspiring Cardiologist, to work with Aviva on Series A, Volume 7
At the BioMed Series Level = English Edition we propose to add One volume per e-Series [five new volumes in total] with the following architecture:
All articles in each volume will be converted Text-T0-Sound. That will convert each Volume in Each Series into Audio Books
All articles in each volume will contain WordCloud for each article in each volume. That process represent visualization of Text Analysis and Text Mining iwth machine learning algorithms
For each Volume a Glossary will be create based on analysis of the WordCloud image. The glossary is derived from the Text Analysis process that produced the WordClouds.
NEW volume for the e-Series to include:
Access Audio articles in each volume
Glossary across all volumes in the e-Series
Editorials – Audio [available as Part C in each Volume in the Spanish Edition]
Selection of five WordCloud images for each Chapter in each Volume
Science Side
2PM EST – 4PM EST
Description of LPBI Group’s PIPELINES in R&D
versus the TEN IP Asset Classes of 1.0 LPBI Group
ALL are available for TRANSFER OF OWNERSHIP
PILOT STUDY applying:
Wolfram PlugIn for ChatGPT and
BioGPT on
74 articles on Galectins and
74 Text curations used in Audio Podcasts
ties in with our Text Analysis with NLP [2.0 LPBI, 2021-2025, Mission #1]
Example:
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
3. Pilot study builds infrastructure for Journal Article Updating System using Wolfram PlugIn for ChatGPT and BioGPT – It represents a NEW features of 4, below
4. That system ties in with our plans for a Blockchain infrastructure for Content Monetization [2.0 LPBI, 2021-2025, Mission #2]
5. 2.0 LPBI, 2021-2025, Mission #3 – Spanish Translation of our 18 Books in the English Edition, was completed in 2022 and ALL 19 volumes: 18 from the English Edition PLUS (Genomics Vol. # – NLP – new volume post completion of English Edition)were published in 1/2023 – first 6 months +1200 Page Download from the Spanish Edition]
Ability to demonstrate PIPELINES adds to the Valuation of the Venture for a near future M&A.
Mission #5:
Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use
Professor Josh Bongard’s research centers on evolutionary robotics, evolutionary computation and physical simulation. He runs the Morphology, Evolution & Cognition Laboratory, whose work focuses on the role that morphology and evolution play in cognition.
I’m really anticipating Google Gemini that’s coming soon. Gemini is a new family of large language models that aims to rival OpenAI’s ChatGPT.
Gemini is Google’s next-generation AI architecture that will eventually complement PaLM 2 that’s rumored to be coming in the Fall of 2023 as the combined work of the new Google DeepMind team and their accelerated focus in Generative A.I.
As PaLM matures, Google’s ceiling in Generative A.I. is very high for useful products.
AI Supremacy seeks to cover A.I. trends at the intersection of society, business and technology. You can visit the archives here, the web view here and the about page here.
SOURCE
From: Michael Spencer and Alex Irina Sandu from AI Supremacy <aisupremacy+guest-posts@substack.com> on behalf of Michael Spencer and Alex Irina Sandu from AI Supremacy <aisupremacy+guest-posts@substack.com> Date: Tuesday, August 22, 2023 at 5:59 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: An Overview of Google’s AI Product Strategy
Topic #3:COMPLETION OF LPBI Group Library of 300 Audio Podcasts: Curations on Contributions by Scientific Leaders – Text To Sound (TTS) conversion completed by Ethan Coomber [1-150] Frason Francis Kalapurackal [151-301]
Classification of 300 Audio Podcasts into Primary and Secondary Domains of Knowledge in the Biological Sciences by Prof. Feldman and by Dr. Williams – Ongoing
Topic #4: English + Spanish Editions:
Page Downloads till 6/30/2023 – 141,776
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Agenda for August 15, 2023
11AM EST – 5:30PM EST
Zoom link will be sent on a day before at 5PM EST
Business Side
11AM EST – 1PM EST
Aviva will brief on Meeting with STS’s, S. H. on 8/14/2023, 11:30AM EST
Unconfirmed live presentation by STS’s S.H
Continue to watch the four presentations of STS to Harvard Alumni Entrepreneurs (HAE) – June-July, 2023
Are You Ready to Sell? event last Tuesday, June 6 at 1:00PM to 2:00PM.
Professor Robert Lustig, a professor of Pediatric Endocrinology, is giving a presentation on non-alcoholic fatty liver disease (NAFLD) and its connection to chronic diseases like type 2 diabetes. NAFLD affects a significant portion of the population without their knowledge. Dr. Lustig emphasizes the importance of understanding the cause and pathogenesis of this disease, as it has become prevalent even in children who don’t consume alcohol. He challenges the notion that obesity alone is the primary cause of metabolic diseases, presenting data showing that lean individuals also suffer from these conditions. He explains that the measurement of fat on the scale does not accurately determine a person’s health status. Dr. Lustig highlights the significance of insulin resistance as a key factor in determining the development of diabetes and other chronic diseases. He discusses the different fat depots in the body, namely subcutaneous fat and visceral fat, and how their distribution and metabolic activity affect health outcomes. Dr. Lustig considers sugar (glucose-fructose) as a hazardous substance that can alter one metabolic pathway and help develop fatty liver. we encourage everyone to also watch other YouTube videos of Dr. Lustig on Emery Pharma channel:
From: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net> Date: Saturday, July 22, 2023 at 8:24 PM To: Aviva Lev-Ari <aviva.lev-ari@comcast.net> Subject: Re: PLEASE WATCH TALK FROM UCSF and send me TOP 10 points made by Speaker on Non-Alcoholic Fatty Liver Disease and its Link to Chronic Illnesses, Unr…
25% of US children have fatty liver
Type II diabetes can be manifested from fatty live with 151 million people worldwide affected moving up to 568 million in 7 years
A common myth is diabetes due to overweight condition driving the metabolic disease
There is a trend of ‘lean’ diabetes or diabetes in lean people, therefore body mass index not a reliable biomarker for risk for diabetes
Thirty percent of ‘obese’ people just have high subcutaneous fat. the visceral fat is more problematic
there are people who are ‘fat’ but insulin sensitive while have growth hormone receptor defects. Points to other issues related to metabolic state other than insulin and potentially the insulin like growth factors
At any BMI some patients are insulin sensitive while some resistant
Visceral fat accumulation may be more due to chronic stress condition
Fructose can decrease liver mitochondrial function
A methionine and choline deficient diet can lead to rapid NASH development
Michael Levin attended Tufts University, where he received dual B.S. degrees, in CS and in Biology. He earned a Ph.D. from Harvard University for the first characterization of the molecular-genetic mechanisms that allow embryos to form consistently left-right asymmetric body structures in a universe that does not macroscopically distinguish left from right (1992-1996); this work is on Nature‘s list of ‘100 Milestones of Developmental Biology of the Century’.
Michael Levin, a Distinguished Professor in the Biology department at Tufts, holds the Vannevar Bush endowed Chair and serves …
Introduction | North Star | Collective Intelligence | Biology and Machine Learning | Lab Tools | Bioelectric Patterns | Future of Medicine | Bioelectrics vs Traditional Medicine | Best Applications | Synthetic Biology | Xenobots | Applications | Final Thoughts
Introduction | Embryogenesis | Xenobots: biological robots | Sense of self | Multi-scale competency architecture | Free will | Bioelectricity | Planaria | Building xenobots | Unconventional cognition | Origin of evolution | Synthetic organisms | Regenerative medicine | Cancer suppression | Viruses | Cognitive light cones | Advice for young people | Death | Meaning of life
From physics to mind: the journey of cognition seen through the lens of embryonic development // Prof. Michael Levin (Tufts …
We are All Collective Intelligences! | Changing the Subject of Intelligence | Planarian Memories Survive Brain Regeneration Memory stored outside the head, imprinted on regenerated brain | Plasticity of Perception and Action Architecture | Where do Anatomies Come from? | Hardware and Software in the Brain | Hardware and Software in the Body | Practical Applications for Regenerative Medicine | Manipulation of Vmem pattern enables coherent, modular organ-level control: eye induction | Re-writing Anatomical Pattern Memory | Novel Bodies, Novel Spaces | Rebooting Multicellularity | Xenobots have a Standard Frog Genome Xenobots have a Unique Developmental Sequence
LPBI Group Library of 300 Audio Podcasts: Curations on Contributions by Scientific Leaders – Text To Sound (TTS) conversion completed by Ethan Coomber [1-150] Frason Francis Kalapurackal [151-300]
For 7/31/2023 – Page downloads in Kindle Store per Book and per Series in
English Edition
Spanish Edition
State of AI
Week 1, April 2023
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Agenda for July 11, 2023
11AM EST – 5:30PM EST
Zoom link will be sent on a day before at 5PM EST
Business Side
11AM EST – 1PM EST
Are You Ready to Sell? event last Tuesday, June 6 at 1:00PM to 2:00PM.
OUTLINE: 0:00 – Introduction 1:33 – WolframAlpha and ChatGPT 21:14 – Computation and nature of reality 48:06 – How ChatGPT works 1:47:48 – Human and animal cognition 2:01:07 – Dangers of AI 2:09:27 – Nature of truth 2:30:49 – Future of education 3:06:51 – Consciousness 3:15:50 – Second Law of Thermodynamics 3:39:23 – Entropy 3:52:23 – Observers in physics 4:09:15 – Mortality
INTERNAL Business Side on
From: The Algorithmic Bridge <thealgorithmicbridge@substack.com> Date: July 7, 2023 at 6:58:25 PM EDT To: avivalev-ari@alum.berkeley.edu Subject:Google DeepMind’s Response to ChatGPT May Be the Most Important AI Breakthrough Ever Reply-To: The Algorithmic Bridge <reply+27a3h1&8t4ds&&a42aee3e760c31df6f8f65cfab4bb465bc968f7dcdea47da92ca0ce1d47abccb@mg1.substack.com>
FRONTIER OF MEDICINE, BIOTECH AND HEALHTCARE WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
347
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d1d
FRONTIER OF MEDICINE, HEALTHCARE AND BIOTECH WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
343
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d • 1d
FRONTIER OF MEDICINE, BIOTECH AND HEALTHCARE WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
272
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d • 1d
FRONTIER OF MEDICINE, HEALTHCARE ANF BIOTECH WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
116
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d • 1d
FRONTIER OF MEDICINE, HEALTHCARE AND BIOTECH WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
87
Impressions
Aviva Lev-Ari, PhD, RN reposted this • 2d2d
Indeed, my son attended a Summer at Cornell, then was accepted and graduated in 2007.
@Cornell is a majic place.
Yes, I graduated UC, @Berkeley, PhD’83 and was at @Stanford GSB, 1980/81.
All these three campuses are uniquely outstanding as Schools and as amazing Architecturally beautiful in design.
82
Impressions
Aviva Lev-Ari, PhD, RN posted this • 2w • 2w
W. Gerald “Jerry” Austen, MD influential in the design and creation of a cardiopulmonary (heart-lung) bypass machine and the intra-aortic balloon pump at MGH as renowned cardiac surgeon Curator and reporter: Aviva Lev-Ari, PhD, RN https://lnkd.in/ennc_knQ
W. Gerald “Jerry” Austen, MD influential in the design and creation of a cardiopulmonary (heart-lung) bypass machine and the intra-aortic balloon pump at MGH as renowned cardiac surgeon
pharmaceuticalintelligence.com • 1 min read
64
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d • 1d
FRONTIER OF MEDICINE, HEALTHCARE AND BIOTECH WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
pharmaceuticalintelligence.com • 3 min read
59
Impressions
Aviva Lev-Ari, PhD, RN posted this • 2w • 2w
W. Gerald “Jerry” Austen, MD influential in the design and creation of a cardiopulmonary (heart-lung) bypass machine and the intra-aortic balloon pump at MGH as renowned cardiac surgeon Curator and reporter: Aviva Lev-Ari, PhD, RN https://lnkd.in/ennc_knQ
W. Gerald “Jerry” Austen, MD influential in the design and creation of a cardiopulmonary (heart-lung) bypass machine and the intra-aortic balloon pump at MGH as renowned cardiac surgeon
pharmaceuticalintelligence.com • 1 min read
51
Impressions
Aviva Lev-Ari, PhD, RN posted this • 1d • 1d
FRONTIER OF MEDICINE, HEALTHCARE AND BIOTECH WAS PRESENTED AT World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB) https://lnkd.in/ezBuiHC2 via @pharma_BI @AVIVA1950 hashtag#WMIF @MGBInnovation
World Medical Innovation Forum, June 12 – June 14, 2023 The Westin Boston Seaport District organized by Mass General Brigham (MGB)
Gerald “Jerry” Austen, MD influential in the design and creation of a cardiopulmonary (heart-lung) bypass machine and the intra-aortic balloon pump at MGH as renowned cardiac surgeon
From: Team Elucidata <team-elucidata@elucidata.io> Reply-To: <team-elucidata@elucidata.io> Date: Friday, May 19, 2023 at 11:10 AM To: <aviva.lev-ari@pharmaceuticalintelligence.com> Subject: 📚🔬 Curious about ChatGPT’s Role in Drug Discovery?
Reid Hoffman, LinkedIn co-founder and Greylock partner, for this week’s episode of Leadership Next. Hoffman was one of the original funders of OpenAI, he sat on its board, and he has written the first book about generative A.I. using generative A.I.: Impromptu. He has his own personal Turing test for determining successful A.I.: can it make up a good lightbulb joke? ChatGPT passed the test. In a piece for Fortune, Katherine Gehl offers one way through the morass; you can read about it here.
You can listen to the full Hoffman interview on Apple or Spotify. SOURCE
From: Alan Murray <fortune@newsletter.fortune.com> Reply-To: <letters@fortune.com> Date: Thursday, May 25, 2023 at 6:33 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: CEO Daily: Reid Hoffman wants to reskill with A.I.
We are excited to share with you our latest whitepaper titled “ChatGPT in Drug Discovery: Rise of Large Language Models” In this whitepaper, we delve into the possibilities of leveraging large language models like the generative model used to build ChatGPT to revolutionize the drug research process, making it more efficient and less laborious.
Here are some of the applications of LLMs at each stage of the drug discovery process:
Target Identification and Validation:
Accelerating the process of gathering information from scientific literature, databases, patents, and clinical trials.
Ability to mine information and answer specific queries, reducing the time spent on manual research.
Hit Identification and Lead Optimization:
Performing virtual screening of compound libraries to identify potential “hit” molecules.
Designing molecules de novo based on desired properties and structural features.
Preclinical Development:
Use of LLMs for generative encoders followed by virtual screening to develop antimicrobial compounds.
Discovery of inhibitors against protein targets.
Clinical Development:
Mitigating small data problems by using artificially generated data.
Designing clinical trials, suggesting populations, endpoints, and dosing regimens.
Enhancing patient recruitment and monitoring real-time trial data.
At Elucidata, we have been working diligently to curate biomedical data with our product Polly built on the BERT model. However, we recognize the limitations of pre-GPT models in terms of scalability and contextual understanding. That’s where ChatGPT comes in.
Read the paper to understand our pilot project to utilize ChatGPT alongside Polly. Soon, our model training will be replaced by prompt engineering supported by expert curation guidelines, to extract biomedical entities from publications and streamline data curation in a more scalable and cost-effective manner.
Book a demo today and witness how Polly can fast-track metadata and data curation. Empower your team to focus on high-level review rather than low-level labeling.
How young scientists feel the nature of scientific dissemination has to change: A discussion with Temple PSM students on the impact of Science 3.0
The following is a conversation with Temple University Professional in Science Masters (PSM) Program students on the changes occuring in scientific discourse and dissemination, due to the expanding new technologies available to us. The course” Dissemination of BioDiscoveries and Virtual Reality” presents how traditional scientific dissemination occurs in different formats, and explores how, using new technologies available on Web 3.0 platforms, can move us into a more democratized and decentralized form of scientific discourse, data sharing, and dissemination. Their final projects, shown here below in video format, ias a discussion on how they envision what Science 3.0 will look like and how different new technologies like AI, Virtual Reality, natural language processing and decentralized networks will affect how science is disseminated in the future.
In essence, the students were asked to envision how there can be a revolution in the way science is communicated and distributed, a revolution very much needed for today, as the old paradigms of Science 1.0 (big publishing houses) and even Science 2.0 (Big Tech) has introduced shackles to scientists. However a group like LPBI Group may be very well positioned for such the revolution to take place
The first discussion, by Temple PSM student Grace Alexander, explains the movement of scientific dissemination from an old paper format controlled by publishing houses through Web 2.0 and now potentially to a Web 3.0 platform, decentralizing publishing and putting ownership back in the hands of science, while taking the power away from publishing houses and Big Tech. She also describes some pitfalls of this movement like lack of stringent peer review but offers some hope that technology and decentralization will solve these issues, and allowing scietnists the freedom again to pursue their work.
Temple PSM student Brigham Roads discusses how scientific dissemination is moving from a 1.0 format, through a 2.0 and 3.0 format, mirroring how the Web has moved through these formats as well. The impact of data sharing is discussed as well as the incorporation of NLP, Machine Leraning, AI, ChaptGPT and a decentralized network based on a blockchain technology or tokenized will enhance and democratize publishing, allowing scientists a better dissemination media by alleviating some of the roadblocks built up over time on these older platforms.
Finally, Temple PSM student Anh Nguyen shows how the integration of various technologies like virtual reality (VR) can make science and scientific discourse more equitable, with an interesting observation that this technology would be useful for autism sufferrers. In addition she discusses how AI and ChatGPT can work on a Web 3.0 and Science 3.0 platform to enhance scientific discovery and discourse, even in light of bioethical concerns.
Tristan Harris and Aza Raskin discuss how existing A.I. capabilities already pose catastrophic risks to a functional society, how A.I. companies are caught in a race to deploy as quickly as possible without adequate safety measures, and what it would mean to upgrade our institutions to a post-A.I. world. This presentation is from a private gathering in San Francisco on March 9th with leading technologists and decision-makers with the ability to influence the future of large-language model A.I.s. This presentation was given before the launch of GPT-4. We encourage viewers to consider calling their political representatives to advocate for holding hearings on AI risk and creating adequate guardrails. For the podcast version, please visit: https://www.humanetech.com/podcast/th…
2.0 LPBI Group’s Mission #5 – An AI Concept/Plan for Launch:
Journal articles UPDATING System powered by OpenAI’s ChatGPT with Wolfram’s PlugIn sending Updates to Twitter then adding the update to each article at its own URL.
The Digital Age Gave Rise to New Definitions – New Benchmarks were born on the World Wide Web for the Intangible Asset of Firm’s Reputation: Pay a Premium for buying e-Reputation
2.0 LPBI Group’s Mission #5 – An AI Concept/Plan for Launch:
Journal articles UPDATING System powered by OpenAI’s ChatGPT with Wolfram’s PlugIn sending Updates to Twitter then adding the update to each article at its own URL.
Aviva Lev-Ari, PhD, RN Aviva Lev-Ari, PhD, RN• You• YouFounder 1.0 LPBI and 2.0 LPBI at Leaders in Pharmaceutical Business Intelligence GroupFounder 1.0 LPBI and 2.0 LPBI at Leaders in Pharmaceutical Business Intelligence Group
12h • 12 hours ago
Outstanding accomplishment by Mira Murati, another example of the contribution of WOMEN immigrants to Science and Technology in the US. #ChatGPT#openai @MIT
Wafik S. El-Deiry, MD, PhD, FACP, FRSMWafik S. El-Deiry, MD, PhD, FACP, FRSM(He/Him) • 1st(He/Him) • 1stAssociate Dean for Oncologic Sciences, Warren Alpert Medical School, Brown University, Providence, RIAssociate Dean for Oncologic Sciences, Warren Alpert Medical School, Brown University, Providence, RI
19h • 19 hours ago
Mira Murati: The Albanian Woman Who Developed ChatGPT
Mira Murati: The Albanian Woman Who Developed ChatGPT – Global Woman Magazine
globalwomanmagazine.com • 3 min read
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SciSpace
@scispace_
This ChatGPT-powered assistant is simplifying research papers for millions of scholars worldwide. Follow SciSpace to learn more. #ChatGPT#Research#AcademicChatter#AI
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What ChatGPT And Generative AI Mean For Your Business?
Forrester just published a report on generative AI that tells its enterprise clients not to ignore or downplay its impact.Enterprises should start right now to experiment with generative AI, recommends Forrester, focusing on existing processes that can be enhanced by technologies “that leverage massive corpuses of data, including large language models, to generate new content (e.g., text, video, images, audio, code).”
It would be “a costly mistake,” says Forrester, to ignore the potential of generative AI to enable production of content at scale, to accelerate the speed and precision of data science practices and app development, to produce synthetic data for training AI and machine learning models, and to provide new defense opportunities for security professionals. In short, generative AI presents an opportunity to augment and even automate existing work processes in IT, marketing, customer service and other business functions.
Human Writer or AI? Scholars Build a Detection Tool
DetectGPT can determine with up to 95% accuracy whether a large language model wrote that essay or social media post.
Valuation-based on Page Downloads of the English Edition – Aviva’s New Excel file Book-of-Business
Updates for 2022 – Website stat
Article Views 2020, 2021, 2022
UPDATED to 1/1/2023 –>> February 1, 2021 – We Celebrate 1,924,400 e-Readers, 6,000 Scientific Journal Articles, 7,525 Scientific Comments, A Journal Ontology of 728 Medical
Use AI to achieve digital transformation – Advances in Instrument Intelligence
From: Wiley <e-service@wiley.com> Reply-To: Wiley <e-service@wiley.com> Date: Tuesday, January 10, 2023 at 8:04 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: Use AI to achieve digital transformation
The laboratory workflow is changing rapidly to keep up with today’s fast-paced world. Thus, it is necessary that products and people also adapt, not only to increase productivity but also to eliminate anomalies or inconsistencies induced by human error and variations in processes.
Some of the main challenges in this process include:
Sophisticated quality control to restrain errors.
Advanced analytics to obtain meaningful information or reliable diagnostics.
Data reproducibility.
This eBook presents an overview of instrument intelligence solutions and shows how several lab sectors can be modified to have faster and error-free production. This can be especially achieved with digitalization and digital transformation.
The content of this eBook consists of:
A summary of Wiley’s book “Digital transformation of the lab”, discussing opportunities, needs, and challenges related to the role of artificial intelligence (AI) in transforming laboratories.
A summary of an article on the “industrial” revolution in biomedical research.
An infographic on Agilent’s intelligent Reflex workflow tool.
5:00PM – 5:30PM
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A Free Book Promotion allows you to attract new readers and widen your audience. You can offer your Kindle eBook for free for up to 5 days out of each 90-day KDP Select enrollment period. Free Book Promotions are for Kindle eBooks only and are available in all KDP marketplaces.
You can schedule a Free Book Promotion after your Kindle eBook is enrolled in KDP Select and available for sale on Amazon. To schedule a Free Book Promotion, follow the steps below:
From: WIRED’s Steven Levy <wired@newsletters.wired.com> Reply-To: <hello@wired.com> Date: Friday, December 9, 2022 at 9:55 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Subject: [Correction] Elon Musk’s Twitter is making Meta look smart
Science Side
1PM – 3PM
Dr. Williams on:
Mission 4: Use of Systems Biology for Design of inhibitor of Galectins as Cancer Therapeutic – Strategy and Software
Create an Author Page through Amazon Author Central so readers can get information about you and your work. You can join Amazon Author from here. Already have an Author Page? Make sure you claim all of your books, including this one. When you add your books, they become eligible for our monthly KDP Select All-Stars bonus program.
From: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net> Date: Sunday, November 13, 2022 at 1:08 PM To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu> Subject: Elon Musk, Twitter, crypto and Twitter and online payment
Twitter has been toying with this idea of a payment system over Twitter but that was always US dollars
Elon always has been a big crypto backer
However there are three points
SEC and Treasury are moving fast for regulation given FTX collapse late last week
crypto as I have seen it is actually a defationing asset…. purchase power of crypto actually seems to decrease given fees
USD will have to back it as nothing backs the crypto … people will always trust USD over an electronic currency for at least next decades
just a few of my observations but they could make Twitter a crypto type wallet and do payment systems. It would be interesting to see then how worth followings or Twitter accounts would become or valued
Science Side
1PM – 3PM
Dr. Williams on:
Accelerating PROTAC drug discovery: Establishing a relationship between ubiquitination and target protein degradation
Relations between VC investment and Unicorn status
Status is online
Ilya Strebulaev• 1stProfessor at Stanford Graduate School of Business | Venture Capital & Private Equity1d • 1 day ago
There is much talk about California losing its status as the startup land. My team and I looked into whether California has been producing fewer unicorns over the past 30 years. The answer is no, but we found other surprising facts.
Over the entire period, California, New York, and Massachusetts are the top 3 states by the “production” of US VC-backed unicorns in absolute numbers. 544, 110, and 74 unicorns respectively come from each state.
California holds a stable share over 30 years at about 50% of all companies that become unicorns each year.
New York has become increasingly important in recent years. From just 3% of the unicorns 20 years ago to 12% and the second place today. It is also the fastest growing US unicorn hub.
Massachusetts, in the third place, holds the 5%-8% range over time.
Israel is the top foreign nation in terms of absolute number of US-based unicorns with 29 companies from Israel calling the US home.
Based on the 2011-2020 decade, Israel alone would have been the fourth by the absolute number of US unicorns were it a US state, surpassed only by CA, NY, and MA. This is quite a fact! Israel is rivaling Massachusetts, as its share has grown from 0 to 5% in the last 20 years.
Stay tuned to explore more evidence behind the success and distribution of startup hubs.
We go ahead and upload to Amazon.com New Genre Text file with LINKS for Audio on WordPress.com
Issues with BeyondWords.com – Text-to-Audio conversion
From: “Rachel Handley from beyondwords.io” <support@beyondwords.io> Reply-To: “Rachel Handley from beyondwords.io” <support@beyondwords.io> Date: Monday, October 10, 2022 at 4:36 AM To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu> Cc: Hanoch Lev-Ari <levari@coe.neu.edu> Subject: Re: OUR BioMed e-Series in Audio Spanish and Audio English
Hi Aviva,
I recommend that you switch off automatic processing and create audio manually instead. This will allow you to create audio for each book subsection, which will provide a better listening experience and reduce the risk of errors.
You can create these smaller audios using our Text-to-Speech Editor and then manually embed the player into each section (you can customize the player text to say ‘Listen to this section’ or similar).
For your Spanish-language content, I recommend that you create a new project. Again, I would create the audio in the Text-to-Speech Editor and embed the player manually.
If you would like to proceed, you will need to switch to one of our new plans so that you can create a higher volume of audios.
Best,
Rachel
ISSUES with TTS
Series A, Volume 1 is audio enabled
We are exploring a manual method for text selection for conversion to audio vs automatic
10/4/2022:
We recommend creating your audio manually. This will allow you to break audio down into smaller sections and eliminate any unnecessary text, which should be more appealing to your audience. You can then embd these manually and/or gather them into a playlist if you like — please see section 1 here: https://beyondwords.io/knowledge-base/audio-content-playlist-ideas
4PM EST- 5PM EST
Status for Publishing 18+1 NEW e-Books on Amazon.com
GTO Presentation on Spanish content promotion methods and budgets
1PM EST – 1:30PM EST
Montero on capabilities for translation to additional languages
Meeting ended at 3PM
@@@@@
Agenda for September 13, 2022
11AM EST – 5:30PM EST
Zoom link will be sent on 9/12 at 5PM EST
Business Side
11AM EST – 11:15AM EST
Issues with BeyondWords.com
Text-to-Sound conversion for 19 Books in Audio Spanish
From: Rachel Handley from beyondwords.io <support@beyondwords.io> Sent: Friday, September 9, 2022 4:12 AM To:levari@coe.neu.edu Subject: RE: How do I generate audio for an existing page in my WordPress website?
Hi again,
Thank you for your patience with this issue. After investigating further it seems we are experiencing issues due to the high number of paragraphs in the content. We are trying to find a workaround and will let you know once we have an update.
If your team has time, I would recommend creating your audio manually. This will allow you to break audio down into smaller sections and eliminate any unnecessary text, which may be more appealing to your audience. You can then gather these into a playlist if you like — please see section 1 here: https://beyondwords.io/knowledge-base/audio-content-playlist-ideas
11:15AM EST – 12:15AM EST
Meetings with Business Broker, John R. on LPBI Exit
John R. will present 45 minutes followed by 15 minutes Q&A
12:15 – 12:30
Other forthcomingMeetings with Business Brokers
THU, Sept. 1, 2022, 1PM EST
Zoom with Aviva and John R.
FRI, Sept 2, 2022, 11AM EST
Zoom with Aviva and Matt M.
TUE Sept 6, 9AM EST – 10AM EST
Zoom with Aviva and Peter Q.
TUE Sept 6, Noon EST
Zoom with Aviva and Phil W. and David J.
WED Sept 14, 2PM EST
Zoom with Aviva and David H.
12:30AM EST – 12:45AM EST
Aviva on the need to create a 2022-2023 Elevator Pitch
LPBI Group’s venturesneed to bepositioning us as two ventures:
1.0 LPBI, 2012 – 2020 – a scientific publisher
2.0 LPBI Group, 2021 – 2025 – a software powerhouse with four missions (pipelines)
2022-2023 Elevator Pitch needs to incorporate the following achieved Milestones/Accomplishments to date
This Elevator Pitch for 1.0 LPBI, 2012 – 2020 does not include all the PROGRESS accomplished at 2.0 LPBI Group, 2021 – 2025:
Status of 2.0 LPBI Group’s four pipelines is as follows:
Mission #1: NLP (completed):
NEW GENRE NLP
Genomics Volume Three and
NEW GENRE Cancer Volume One
both include the Text analysis of the respective original volume processed by NLP algorithms: What are the results and the Domain Knowledge Expert interpretation
2.0 LPBI Group’s Mission #1 (Text analysis with AI)
Series B: Genomics
New volume
NEW GENRE Volume Three: Results of Medical Text Analysis with Natural Language Processing (NLP). It is known in 2022, as Genomics Volume Three in NEW GENRE Series B: Frontiers in Genomics Research
PART A.1: The eTOCs in Spanish in Audio format AND
PART A.2: The eTOCs in Bi-lingual format: Spanish and English in Text format
PART B:
The graphical results of Medical Text Analysis with Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) algorithms AND the Domain Knowledge Expert (DKE) interpretation of the results in Text format
PART C:
The Editorials of the original e-Book in English in Audio format
Mission #2: Blockchain & NFT – work-in-progress
Erich is the Lead
Results of DB Schema Phase 1 will be presented on 10/11 Board meeting, results expected from inters on end of 9/2022
Please review
Blockchain Infrastructure we are developing for content monetization [2.0 LPBI Group’s Mission #2]
and colleagues describe how a rule-based algorithm for automatic multi-disease state classification from radiology text reports was used for automatic multi-organ classification from CT scans. (1/3)
Duke Center for AI in Radiology (DAIR)
@duke_dair
·
The automatically extracted labels were 91-99% accurate compared to ground truth validation. More details can be found in the attached paper. https://arxiv.org/abs/2008.01158 (2/3)
arxiv.org
Classification of Multiple Diseases on Body CT Scans using Weakly…
Purpose: To design multi-disease classifiers for body CT scans for three different organ systems using automatically extracted labels from radiology text reports. Materials & Methods: This…
Series A: Six volumes are ready for Text to Audio conversion
Series B: Three Volumes 1&2 are ready for Text to Audio conversion 3rd Volume is Results of Text Analysis with NLP – pending Dr. Williams upload of plots and Interpretation
Series C: Two volumes are ready for Text to Audio conversion, volume 1 includes NLP results and Interpretation – pending upload of plots
Series D: One out of Four volumes are ready for Text to Audio conversion
Series E: PENDING
Results of Medical Text Analysis with Natural Language Processing (NLP) presented in LPBI Group’s NEW GENRE Edition: NLP on Genomics content, standalone volume in Series B and NLP on Cancer content as Part B New Genre Volume 1 in Series C
The newly sequenced regions include previously inaccessible sections such as the centromeres, the tightly wound central portions of chromosomes that keep the long double strands of DNA organized as the strands unwind, bit by bit, to copy themselves and separate into two cells as a single cell divides. These regions are critical for normal human development and also play a role in brain growth and neurodegenerative diseases. “It’s been one of the great mysteries of biology that all eukaryotes—all plants, animals, people, trees, flowers and higher organisms—have centromeres. It’s a really fundamental part of how DNA replicates and how chromosomes organize and how cells divide. But it’s been a great paradox, because while its function has been around for billions of years, it was almost impossible to study because we didn’t have a centromere sequence to look at,” says Schatz. “Now we finally do.”
Biotech startup with AlphaGo-type AI approach snags $30M
The CEO of Anagenex believes that the company’s AI engine trained on billions of data points and iterative testing will blow other AI drug discovery startups out of the water.
Equity Sharing Calculation: A Scoring System for Author’s (a) Total Articles (single author) and (b) multiple authors)(c) Total Articles Views and (d) Author’s Proportion of own articles views in the Top 14 Journal articles by Views (e) External Citations
Curators: Aviva Lev-Ari, PhD, RN and Stephen J. Williams, PhD
Dan Boneh, professor of computer science. Professor Boneh heads the applied cryptography group and co-directs the computer security lab. His research focuses on applications of cryptography to computer security. Professor Boneh’s work includes cryptosystems with novel properties, cryptography for blockchains, and cryptanalysis. He has authored over 150 publications in the field and has received the 2014 ACM prize, the 2013 Godel prize, and the RSA award in mathematics. In 2016, Professor Boneh was elected to the National Academy of Engineering.
This talk was recorded at Stanford Reunion 2021.
VIdeos by Prof. Dan Boneh, Stanford University, CS Department
I need to understand better the algorithm that related the these 3 factors:
A. the price of my NFT
B. the price to MINT this NFT
C. the traffic at the moment the MINTING process is complete
D. Average traffic daily during 90 days of my Experiment design for 14 articles
E. Bidding: Do I have to accept the bid during first 5 days
F. What is my recourse – can I delist an NFT??
G. Can I declare Limited Edition: Article x will sell 100 copies and Article Y 300 copies??
1PM EST – 2PM EST – Aviva – INTERNAL to LPBI Group
#1: Scoring system for Equity sharing calculation based on 1.0 LPBI Group’s IP Asset class I: Journal articles
Equity Sharing Calculation: A Scoring System for Author’s (a) Total Articles (single author) and (b) multiple authors)(c) Total Articles Views and (d) Author’s Proportion of own articles views in the Top 14 Journal articles by Views (e) External Citations
Curators: Aviva Lev-Ari, PhD, RN and Stephen J. Williams, PhD
#2: LinkedIn 1st degree connections by Biotech Company Name and by Connections positions
Analytics for e-Reputation based on LinkedIn 1st Degree Connections, +7,500 of LPBI Group’s Founder, 2012-2022: An Intangible Asset – Connections’ Position Seniority & Biotech / Pharma Focus
Tweets at #WMIF2022 by @pharma_BI & @AVIVA1950 and All Retweets of these Tweets – 2022 World Medical Innovation Forum, GENE & CELL THERAPY • MAY 2–4, 2022 • BOSTON
Equity Sharing Calculation: A Scoring System for Author’s (a) Total Articles (single author and multiple authors)(b) Total Articles Views and (c) Author’s Proportion of own articles views in the Top 14 Journal articles by Views
Curators: Aviva Lev-Ari, PhD, RN and Stephen J. Williams, PhD
Analytics for e-Reputation based on LinkedIn 1st Degree Connections, +7,500 of LPBI Group’s Founder, 2012-2022: An Intangible Asset – Connections’ Position Seniority & Biotech / Pharma Focus
Author: Aviva Lev-Ari, PhD, RN, Founder of 1.0 LPBI, 2012-2020 & 2.0 LPBI, 2021-2025 and Data Scientist, Research Assistant III: Tianzuo George Li
rmdsNFT.commarketplace DEMO for LPBI Group by Samantha and Vincent
2:30PM EST – 3:15PM EST
Prof. Feldman, Presenter
&
Prof. Williams, Discussant
Why Biology Is Not Destiny
New York Review of Books, 21 April 2022: 43-46.
M.W. Feldman and Jessica Riskin
The Genetic Lottery: Why DNA Matters for Social Equality
by Kathryn Paige Harden.
Princeton University Press,
300 pp., $29.95
You must know the parable about the frog that sits in a pot of water being gradually heated, allowing itself to be boiled alive: because the change happens gradually, it never realizes it should leap out. Reading Kathryn Paige Harden’s book The Genetic Lottery: Why DNA Matters for Social Equality is a similar experience, as the author ingenuously points out. “Like a frog being slowly boiled alive,” she observes, readers follow her argument “from an uncontroversial premise to a highly controversial one.” Harden’s “uncontroversial premise” in this case is that siblings raised in the same family share a childhood environment and 50 percent of their DNA randomly assigned at conception, and are therefore like subjects in a controlled study of genetic differences. Ask anyone with a sibling whether their own childhood environment was the same as their sibling’s and you’ll quickly disprove Harden’s claim that her premise is uncontroversial. But putting that objection aside and sitting patiently as Harden increases the heat, we’ll arrive at her “highly controversial” assertion that “if siblings who differ genetically also have corresponding differences in their health or well-being or education, this is evidence that genes are causing these social inequalities.”
Harden is a dedicated frog boiler. She introduces many comfortably room-temperature premises: measurement is essential to science; people differ genetically; genes cause conditions such as deafness; a recipe for lemon chicken produces variable results but never leads to chocolate-chip cookies. Lulled to complacency by such anodyne and often homey observations, we soon find ourselves in a rolling boil of controversial claims: genes make you more or less intelligent, wealthier or poorer; every kind of inequality has a genetic basis.
SOURCE
M.W. Feldman and Jessica Riskin. “Why Biology is Not Destiny.” New York Review of Books, 21 April 2022: 43-46.
3:15PM EST – 4:00 PM EST
DISCUSSION on LPBI Group’ Strategy Options related to rmdsNFT.commarketplace DEMO for LPBI Group by Samantha and Vincent
Q&A
I need to understand better the algorithm that related the these 3 factors:
A. the price of my NFT
B. the price to MINT this NFT
C. the traffic at the moment the MINTING process is complete
D. Average traffic daily during 90 days of my Experiment design for 14 articles
E. Bidding: Do I have to accept the bid during first 5 days
F. What is my recourse – can I delist an NFT??
G. Can I declare Limited Edition: Article x will sell 100 copies and Article Y 300 copies??
Aviva needs an Account and Wallet with rmdsNFT.com for ALL her NFTs created Prior to 4/2012 – the Launch of PharmaceuticalIntelligence.com – deposits in the Wallet will be from Aviva’s own funds for covering Fees
Under 2, above: PROPOSAL #2: Aviva will present on 4/12 – 3 Volumes on a Combination Drug therapy in Cardiovascular – Each chapter in each Volume is an NFT. The content of each Volume needs to be decomposed into many NFTs
Under 2, above: PROPOSAL #3: Aviva will present on 4/12 – 3 Volumes on the 1st e-Mall for Analytics for Digital Marketplaces – this is the predecessor of the 2022 Blockchain IT architecture. The content of each needs to be decomposed into many NFTs
To MINT NFTs for PROPOSALS #1,2,3, above, Aviva and LPBI need HELP from rmdsNFT.com
LPBI’s Gallery of IMAGES: 2012 – 2022 – ~7,000 items Should be prioritized as PROPOSAL #4.
4:00PM EST – 5PM EST
Business Side
Group Discussion on Business Matters to be presented
OT-1.0
CS-2.0
@@@@@@@@@
AGENDA for March 15, 2022
Science Side
March 15, 2022 @ 11AM EST
11AM EST – Noon
LECTURE TITLE on 3/15/2022
Dr. Shraga Rottem, MD, DSc
Clinically Applicable Artificial Intelligence in Women’s Healthcare, Reproduction and Maternal-Fetal Medicine
Technion Prof. Emeritus Yoram Palti of the Faculty of Medicine will receive the 2022 Israel Prize in the Field of Entrepreneurship and Technological Innovation
Our ecosystem platform at GRMDS.org does have search feature.
Our NFT marketplace can support to mint and list your assets to be sold on our marketplace.
We can deploy a window or connect to your web site for your members’ easy access to our marketplace, and for your members’ easy minting, listing, selling IP NFTs.
See attached an introduction, and we can use our marketplace to support you and your communities.
Messages exchange on LinkedIn on 2/11/2022
Business Side @ 1PM EST
ERICH: STATE of Technology – 20 minutes
AVIVA: STATE of STRATEGY – 40 minutes
On the blockchain we intend to SELL each Plot: Hyper-graphs and Tree Diagrams
On the blockchain we intend to SELL each Interpretation like the two in Science Side today
In a B2C Scenario: A knowledge worker type a query
Option 1: one article with most views on the topic is shown on the screen
Option 2: 12 top articles are fetched from the Journal archive ranked by views
Option 3: computer advise [Recommendation Engine] the knowledge worker: x articles in this 12 were published in the following books
Option 4: do you wish to see the NLP results of these articles in the context of the chapter they are included in the books?
Option 5: if yes, then Hyper-graph and Tree diagram stored in the DB is retrieved and appears on the screen
Option 6: do you wish to read the interpretation of the Domain Knowledge Expert for these graphs?
Option 7: if yes, Interpretation Box appears on the screen
Option 8: Knowledge worker wish to download to his computer Options 2,3,4,5,6,7,
Option 9: Price for Option 2 = $20, Option 3 = #40$ Option 4,5,6,7 =$35 each
Option 10: Form with itemized contents for a total of $200
Option 11: Credit card online payment
Option 12: all paid for items are downloaded to the B2C Knowledge worker CART
THAT IS A TRANSACTION OF CONTENT MONETIZATION recorded on the blockchain
Business Side @ 2PM EST
Business Model in MEDIA acquisitions
A. Padre Media – Could they be a potential M&A target
B. Deloitte is expanding its Converge portfolio to serve retail and financial services as well as health
The folks at Deloitte, who have the good sense to sponsor this newsletter, have some news of their own this morning. They are announcing a planned $750 million investment to build out their ConvergeHEALTH business by adding ConvergeCONSUMER and ConvergePROSPERITY to serve the retail and financial services sectors.
INOVA is a software company for Pharma with acquisition of LaBiotech they added the Biotech sector – the Partnering involved a Global DB of clients in these industries.
CONTENT PROMOTION is a must for LPBI Group’s Content Monetization
We are building the Blockchain IT platform to Index all our IP Assets for Monetization
INOVA via One to One Partnering have a computerized system in Pharma via LaBiotech acquisition also Biotech of Customers, CRM
Areas Aviva sees LPBI IP assets to be of relevance:
1. OUR CONTENT (Journal articles and Books) is king for an information push model to theirs computerized Global Pharma and Biotech (Europe focus) clients.
2. LPBI Group’s Conference e-Proceedings and Tweet Collections – is relevant for INOVA’s Conference involvement via One-on-One Partnering. Inova is also the company behind the One-on-One Partnering system used by the BIO International Convention, the largest biotech gathering in the world!
3. Spanish books for All Customers in Spanish speaking Countries: Spain, Latin America and South east Asia
4. Blockchain for auctioning of NFT:
4.1 LPBI’s Curation [80% of 6,112 articles]
4.2 Discovery Searches across several LPBI’s IP assets
4.3 Therapeutics molecules designed with synthetic biology software PRossettaC for PROTACs on Galectins – 2.0 LPBI Group’s Mission #4
4.4 Molecules developed by 3rd parties
5. NLP on Genomics and Cancer – two books are NLP ready, other Books are wor- in-progress, LPBI Group’s launched in 2021
New Genre e-Series
[Demo Two Books by Aviva]
Science Side @ 3PM EST
Content Development for 2.0 LPBI Group’s
New Genre e-Series
Dr. Williams Interpretation of Hypergraph Plot for Cancer Volume 1, Chapter 3
The included hypergraph is a visualization of chapter 3 of Cancer Volume 1, represented by the extraction of 17 key concepts from the text of this chapter. This chapter focuses on the genetic complexity of cancer and how this genetic complexity affects tumor growth and metastases. Special emphasis is given to the complex structure of DNA in the chromatin as well as the dynamic flux of mobile elements and noncoding intronic sequences important in controlling gene and protooncogene expression. Some examples of this complexity is the heterogeneity of tumors, the ability of viruses to cause liver cancer, and the importance of variants in etiology and predisposition of cancers of the breast and gastric system. An interesting insight, potentially not visible unless given the visualization analysis, is the association between genomics, heritable mutations and with growth control of adenomas, especially for the colorectal system. Also inferred is that genomic effects may be more prominent in early tumorigenesis than in late stage although this would differ from the previous analysis of chapter 2. An explanation could be potential epigenetic changes are more important in late stage, as gleamed from this hypergraph. In addition, cellular processes may be governed by genomic, intronic (junk) DNA than previously thought. Cancer control may be associated with deleterious passenger mutations and associated with variant alleles and reflected in cancer heterogeneity. However it seems there is no connecting edge with the pathogenesis of cancer and those passenger mutations as may depend more on the driver mutations.
In summary, an interpretation of this hypergraph could be as follows:
Cancer is a complex genetic and epigenetic disease affecting multiple cellular processes. Tumor heterogeneity creates a complex pattern with multiple variants affecting outcomes, especially in solid tumors.
Dr. Williams Interpretation of Tree Diagram Plot for Cancer Volume 1, Chapter 3
Chapter 3 discusses the genetic basis of cancer and, as such, contains articles of a more technical nature. Discussions of structure of DNA, mobile and transposable elements in DNA, noncoding DNA, tumor heterogeneity, and various genetic drivers of specific cancers are discussed. The tree diagram projects the basis of these articles as genetic variants is closely associated with risk of cancer and structural elements of the DNA lattice, even considered a framework of DNA and thought once to be static, is associated with an active process of opening and relaxing, leading to an important concept when considering the importance of DNA as an active changing structure to the cancer development process.
The term adenoma is correctly classified by the algorithm as a benign tumor but very interesting its close proximity to cancer risk and variants, terms not canonically associated with adenomas except in the case of colorectal cancer, also discussed, where there are definitely a progression from adenomas to carcinomas with underlying genetic variant risk factors. Calcium is correctly identified as a metal and effects of its biodistribution is discussed in this chapter. Also interesting to note is that “variant” is associated with “type” and “quantity”, two areas of active investigation as massive genomic studies are underway to determine and quantify risk variants in multiple populations, and the effects of variants to the risk of environmentally induced cancer development. The field of genomic epidemiology is a rapidly expanding field yet hampered by the inability to relate risk variants to causality. Perhaps a deeper analysis of the literature with enhanced ontological terms may provide some clues to help in these investigations. Issues of tumor heterogeneity, one article in the chapter, has ontologies related to stem cells {“renewal”}, type of variants, and probability of variants to risk of developing advanced and resistant tumors.
Topics for DECISION @4PM EST
Unicorn Behavior in the MarketPlace: Research by Prof. Ilya Strebulaev at Stanford University GSB
Steve Jobs by Walter Isaacson 21 min reading time audio version available Get the key ideas on Blinkist Buy on Amazon Just like Musk, Steve Jobs forged his own path in the tech industry. This book chronicles the audacious, adventurous life of the innovative entrepreneur and eccentric founder of Apple. Drawing from Jobs’s earliest experiences with spirituality and LSD to his pinnacle as a worldwide tech icon, Steve Jobs describes the man’s successful ventures as well as the battles he fought along the way. Get the key ideas with Blinkist in just 19 minutes.
APPENDIX for Business Side
BACKGROUND
INOVA – A cloud-based solution aimed at helping life science companies locate and manage their biopharma opportunities more efficiently
Inova Acquired Labiotech
About Inova
Inova is a cloud-based solution aimed at helping life science companies locate and manage their biopharma opportunities more efficiently. It offers a platform for partnering events, secure licensing and collaboration opportunities, and successful deal making and alliance management. Inova has over 125 employees and is headquartered in Lyon, France, with offices in New York, Denver, and Tokyo. Further information is available at inova.io. Follow Inova on LinkedIn and Twitter.
Inova was founded in 2010 by Gilles Toulemonde, David Carteret and Fritz Eisenhart by merging Inova and Vertical*i. The merger combined Vertical*i’s business development and alliance management expertise with Inova’s experience in strategic innovation software. The newly merged company turned its focus to creating a software that would help life sciences companies find external innovations. Since then, we’ve worked exclusively in the life sciences, learning the pains and challenges of this industry inside and out. We’re constantly developing new partnerships and new features to help biopharma companies work together better. For example, we have a strategic partnership with the Biotechnology Innovation Organization, organizer of the largest biopharma partnering event of the year. Thanks to this partnership, our CRM is prepopulated with company and contact information from BIO partnering meetings. The two systems are synchronized in real-time, providing our users with always up to date information and helping them find the right partners. https://inova.io/about/
About Labiotech
Labiotech is the publishing company of www.labiotech.eu, the leading news website for the biotech industry in Europe. Labiotech has 6 employees and is headquarter in Berlin, Germany.
We’ve got some amazing news we’re dying to tell you about, and now we can finally let the cat out of the bag:
Inova, the leading biopharma partnering platform has acquired Labiotech!
Ever heard of Inova? Inova is a cloud-based solution helping life science companies locate and manage their partnering opportunities more efficiently. The company already supports more than 150 global clients, including many of the world’s largest pharmaceutical companies, and is at the forefront of digital transformation in biopharma collaborations.
Inova’s flagship product, ‘Inova Partnering Platform’, is a collaborative tool used to manage all partnerships related to outsourced innovation to laboratories and biotechs, enabling customers to manage their biopharma alliances in one tool. Inova is also the company behind the One-on-One Partnering system used by the BIO International Convention, the largest biotech gathering in the world!
So why would a software company buy a media company?
Through this merger, Inova and Labiotech will be working together to offer the industry a unique space to connect with key players from both sides, stay informed on relevant updates, and manage all their partnering processes in one place.
But let’s get to the important stuff: what does this mean for you, our dear readers?
Simply that: more of the stuff you love!
Labiotech.eu will stay editorially independent and focused on high-quality journalism. Inova’s support will also bring us new resources to create even more content that you love! As always, we’ll keep most of it free to access and offer additional content to our members.
We’ll have more news on our future plans in the coming months. In the meantime, you can read the official press release here.
I also wish to thank our team, investors, partners, clients, and of course, our readers, for their support during the last 7 years. We would not be here today without all of you! It’s been an amazing journey and I’m thrilled to write the next chapter of Labiotech with our great team and our new partner Inova.
Spanish speaking countries – Market penetration for LPBI Group’s New Genre Scientific Books – Spanish eTOCs – 18 books in Medicine
Founder’s2022 Message
2022 Organizational Priorities
All Missions are pursued in parallel
Transfer of Ownership – URGENCY for Accomplishment. THIS IS PRIORITY #1: Involvement of multiple parties in the prospecting process: GPS, LDLC, XA, AB, GG
Combine Mission #1 (NLP) with Mission #3 (Spanish eTOCs) in publishing LPBI Group’s NEW GENRE e-SERIES. THIS IS PRIORITY #2: URGENCY for Delivery
NEW GENRE e-SERIES VERSION 1: PART A: Spanish eTOCs Audio, Bi-lingual eTOCs Text, PART B: NLP Results & NLP Expert Interpretation, PART C: Editorials English Audio
VERSION 1, Series B & C, Phase 1: Cancer Volume 1 and Genomics Volume 2; Phase 2: Genomics Volume 1 and Cancer Volume 2
NEW GENRE e-SERIES VERSION 2:
VERSION 2, Phase 1: Series A, six volumes – for each volume and for all six volumes in the series: PART A & PART C, above
VERSION 2, Phase 2: Series D, four volumes – for each volume and for all four volumes in the series: PART A & PART C, above
VERSION 2, Phase 3: Series E, four volumes – for each volume and for all four volumes in the series: PART A & PART C, above
3. Mission #2: Blockchain IT Platform for Content Monetization and Auctions of NFT: Molecules and Curations
Erich will present STATE OF AFFAIRS – 5 minutes
Fluree’s Environment for Knowledge Graph based Schema design and implementation for LPBI Group’s Journal’s Ontology
4. Mission #4: Synthetic Biology in Galectins Drug Discovery
Dr. Williamswill present STATE OF AFFAIRS – 5 minutes
PRossetaC and other platforms for AlphaFold and AI
Goal Attainment Scaling Record: 2021 – A Year in Review
We build a simplified package of 2 or 3 pages max that includes:
A teaser (see attached example)
Estimated income statement/financial forecasts (monetization, memberships, readership, subscription, a la carte, pay-per-article or pay-per-page/chart…)
Estimated value of assets. (with valuation methodology)
We build a simplified package of 2 or 3 pages max that includes:
· A teaser (see attached example)
· Estimated income statement/financial forecasts (monetization, memberships, readership, subscription, a la carte, pay-per-article or pay-per-page/chart…)
· Estimated value of assets. (with valuation methodology)
Bob Anderson
· Valuation of the IP
· Valuation of Composition of Matter
· SaaS and BaaS Models for 2.0 LPBI Group
Asked about referral to his contact Paulo
Erich on Mission #2: Blockchain with Fluree – Schema Design UPDATE
Erich will present update for his work with LMU CS MS Student on conversion of WordPress SQL DB into Fluree’s Knowledge Graph DB allowing for Blockchain deployment of 2.0 LPBI Portfolio of IP Asset Classes I to XIII [1.0 LPBI and 2.0 LPBI]
Aviva and Dr. Williams on Portfolio of IT Valuation
· Portfolio Valuation: Applicability of Non Fungible Tokens by IP Asset Class
NLP – Cancer, Volume 1, Chapters 7-12 – Overview of Keywords Extraction and Results of NLP – Satwik; Chapter 1: Danielle, Chapter 2: Dr. Pati and Chapters 3-6 – Satwik
NLP – Completion of Genomics, Volume 2 – Madison
· Aviva on Mission #3:
How LPBI Group plans to use the Spanish Translation of its BioMed e-Series: Cover page of 18 e-Books and electronic Table of Contents of these e-Books?
In November 2021 – I will start to convert the Spanish eTOCs to Sound files and will start to publish
LPBI Group’s
Medical eBooks New Genre Edition !!!!
· Spanish in Audio format,
· Bi-Lingual Text,
· NLP, Results and Domain Knowledge Expert Interpretations, and
· English Editorials in Audio format
Application of LPBI Group’s New Genre Edition of Medical Books:
Each Series: A, B, C, D, E – ONE Volume per Series – 5 volumes in Total
· Series A: Six volumes, All Volumes eTOCs Spanish Audio & Spanish Text & Editorials English Audio
· Series B: Two volumes, All Volumes eTOCs Spanish Audio & Spanish Text & Editorials English Audio
· Series C: Two volumes, All Volumes eTOCs Spanish Audio & Spanish Text & Editorials English Audio
· Series D: Four volumes, All Volumes eTOCs Spanish Audio & Spanish Text & Editorials English Audio
· Series E: Four volumes, All Volumes eTOCs Spanish Audio & Spanish Text & Editorials English Audio
Each Volume: in each Series – 18 volumes in Total
· Part A: Bi-Lingual eTOCs,
· Part B: NLP, Results and Domain Knowledge Expert Interpretations
· Part C: Editorials English Audio
SEE YOU ALL ON December 14, 2021 AT 11AM EST
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October 12, 2021
LPBI Group’s Global Zoom Monthly Meeting,
10/12/2021, 11AM EST – 3PM EST
11AM – 12PM
Erich and Asala present
Progress report on Blockchain for LPBI’s SQL DATA SCHEMA
Input for Fluree Knowledge Graph Database Design,
Powering a Blockchain IT for Content Monetization for 2.0 LPBI
12PM – 1PM
Dr. Williams presents
Wolfram Platform: What can LPBI do to get access for MULTIPLE computers beyond 2 seats, currently held by Madison and by Yash – WHAT can we do with Wolfram to enable access to all INTERNS?
What is the state of development for the decision on the Software to be selected for Synthetic Biology for our Interns
HOW the work by David MacMillan on bio catalysts can be harnessed for our Synthetic Biology for Drug Discovery effort
Attempts to get External Presenters involved with Transfer of Ownership
Ongoing Strategy pursuits: Recap the four missions briefly as LPBI’s exposition of the pipelines for 2021 -2025:
Mission #1: NLP – Team in USA & India – Medical Text Analysis with NLP – on LPBI 3.3 Giga Bytes of Content. Statistical NLP and Deep Learning by Machine Learning using Wolfram Language for Biological Sciences
Mission #2: Blockchain IT and NLP Processing API generating NLP visualization Products used by Knowledge Graphs stored in Graph Databases – Content monetization infrastructure B2B and B2C.
Mission #3: BioMed e-Books – Book Republishing in new GENRE – Bi-Lingual and Multimedia Audio Podcast for Books in the 18-e-Books in five e-Series: A,B,C,D,E
UPDATED on 8/20/2021 by Dr. Williams – Presentation by Dr. Williams
Accomplishments for 3Q 2021 – Presentation by Aviva
IT & Data Science Internship – LPBI gained the code to run Article Views by any date, 2012 – 2021 – Contributions by Srini and by Abhisar
Text to Sound: 150 of the 270 Interviews with Scientific Leaders were converted to Podcasts – Contribution by Ethan
Sign up agreement with SpeechKit – Text to Sound conversion for (a) $204 for 360 podcasts per year (b) Archive bulk conversion 20 cents per Podcast (c) Use API for Spanish Text to Spanish Sound
ALL 18 BOOKS have a COVER PAGE and an eTOCs in Spanish – Montero competed its Contract and was paid by a Loan Aviva made to LPBI. On 9/1/2021 wired the funds to cover the Invoice.
Instructions by Madison for all INTERNS on Deep Learning NLP using Yash’s code – is almost ready
Proof-of-Concept for Cardiovascular text with Deep Learning NLP is ready by Yash using Adina’s Data preparation
PowerPoint SLIDE DECK for 2.0 LPBI is Ready – Text by Aviva PPT by Srini and Abhisar
Completion of Internship Definition and Certificate Design on 9/2/2021 – Joint Work with Robin and Beth – SEE ATTACHMENTS
LPBI India is seeking additional Leadership to Dr. Saha and additional INTERNS for
(a) Medical Text Analysis and
(b) Synthetic Biology Software for Drug Discovery
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AGENDA for AUGUST 10, 2021, 11AM EST to 4PM EST
Global Monthly ZOOM Meeting
Strategies about and for
LPBI USA & LPBI India
PLEASE PLAN TO ATTEND August 10, 2021, 11AM EST – 4PM EST
Presentation by Dr. Williams: INTERNAL presentation on Science Side related to Mission #4: Synthetic Biology
Presentation by Aviva: INTERNAL subjects on Business Side: Issue #1 and #2
Presentations by INTERNS – Topics to be determined and announced
Issue #1:
The REDESIGN of LPBI’s Organizational Chart by Practices named Missions
We are including LPBI India
Each Practices named: Missions #1, #2, #3, #4
People assigned to each Mission will be on the Org Chart
Mission #1: NLP – Team in USA & India
Mission #2: Blockchain IT and NLP Processing API generating NLP visualization Products used by Knowledge Graphs stored in Graph DBs
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Mission #3: BioMed e-Books – Book Republishing in new GENRE – Bi-Lingual and Multimedia Audio Podcast for Books in the 18-e-Books in five e-Series: A,B,C,D,E
New Genre e-Book Architecture has the following Book architecture:
Bi-Lingual English to Spanish eTOCs
NLP Results with Audio interpretation of results by Domain knowledge Expert in several languages
English Editorial in Audio Podcast
STATE OF AFFAIRS for LPBI’s BioMed e-Series – 18 Books
Currently we have a massive effort of Converting ALL the electronic Table of Contents of the 18 books from English Text to Spanish Text. Same for the 18 Cover Pages
We may decide to
Convert the SPANISH TEXT to SPANISH AUDIO PODCAST
Domain Knowledge Expert INTERPRETATION of NLP RESULTS on six volumes:
Series B: Genomics – 2 volumes
Series C: Cancer – 2 volumes
Series A: Volume 1 – Nitric Oxide
Series E: Volume 4 – 3D BioPrinting
All above NLP interpretation of visualization products will be written by Domain knowledge experts as English Text:
Cancer & Genomics: Williams, LPBI USA
Cardiovascular: Vivek Lal, LPBI India
The Interpretations English Text will be subjected to:
Conversion of English Text to Sound: English Audio Podcast
Conversion of English Text to Spanish Text to Spanish Audio Podcast
Other Languages Audio Podcast: Japanese, Russian
Mission #4: Synthetic Biology: Drug discovery Galectins
LPBI NEEDS a lead MD or PhD for Mission #4 based in the USA and/or in India.
The intent is to:
LPBI USA and LPBI India will develop IP on targeting 12 Galectins as therapeutics using Synthetic Biology Software in Drug Discovery 💡
Testing the molecules by Dr. Nir in ABI Lab & SBH Sciences, Inc. wet labs
Give Dr. Nir Right of Use
Hosting the molecules in Blockchain Knowledge Graph Data Base
Open up the molecules for licensing in a cyber secured confidential Auction
Host molecules inventories from Technology Transfer Offices in several Academic centers around the Globe. We have relations to three Academic institutions in Israel, and three in the US
GLOBAL BUSINESS RELATIONS EXPLORED
Aviva’s Zoom meeting on 8/4
Person #X: regarding a Turnaround approach in the US
Aviva’s Zoom meeting on 8/11
Person #1: I am meeting on 8/11 with a person proposing him to contact on my behalf a leading Investment houses based in Israel – names of people to contact are provided by Aviva
Person #2: based in Israel for an Israel Investment Acquisition with a national good will
On 7/31/2021 Aviva approached directly:
Person #3: based in Israel head of a major investment house with sheer international investment horizon and book of deals for Referral to specific UK based Investment House, a Japanese IB and two UAE based IBs – all are on this book of business
Person #4: A Europe-based prospector for potential acquirers in Europe
TECHNOLOGY ISSUES EXPLORED
Issue #2:
Blink.com has AI technology for Key ideas finding in text for Mobile Devices
Apple Recommends The App All The Intellectuals Are Using To Beat Boredom – Blinkist Magazine
SHALL LPBI APPROACH BLINK.com
for application for their technology for MOBILE DEVICES to
LPBI’s BioMed 18 e-Books for used on MOBILE DEVICE?
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July 21, 2021 – LPBI USA BUSINESS SIDE – 11AM EST – 4PM EST
On July 21, 2021 at 11AM EST – We have LPBI July 2021 Board Meeting with all VENDORS to provide services to 2.0 LPBI
open to all addressees – All Summer and NLP Interns are encouraged to attend
July 21, 2021 – TECHNOLOGY SIDE with External Technology Vendors
Justifying the Launch of LPBI India todayis the Interaction between LPBI USAand LPBI India which is taking place multiple times every day
Senior level executive talent in India expressed interest to JOIN LPBI USA while living in India
It was Dr. Lal and Dr. Ghosh interest in joining LPBI USA that impacted Aviva’s Decision toward the Launch of LPBI India: Leadership + Professional Staff
Interactions among all members across Indiais mostly encouraged
We are preparing a MAP with all the locations in India of our VIRTUAL organization
We are a community of inclusion and excellence challenging and aspiring for expression and growth of the best of our abilities without borders and/or pre-determinants of any kind: age, race, religion or gender
Interactions with Alumni of LPBI USAis mostly encouraged – we are very proud of each of you,
Congratulatory Remarks, each presenter from their own perspective:
LPBI USA Board member, Marc W. Feldman, Stanford University [7/18/2021 – Medical Emergency] <<< – WE WISH YOU SPEEDY RECOVERY, next Global Zoom on August 10, 2021 – Congratulatory remarks will be delivered
Aditya Bahl, MBA, LPBI USA, External Business Relationsto LPBI USA since 1/2020. Mr. Bahl is ex-Novastis and ex-J&J, the Founding Director at RAS Life Science Solutions, based in Frankfurt, Germany
Raphael Nir, Founder, ABI Lab and President, SBH, Inc in Natick, MA – We will have in 4Q’2021 a JOINTmeeting dedicated to Mission #2, below
Mission #1:
Medical Text Analysis with Natural Language Processing (NLP), Machine Learning (ML), Artificial Intelligence (AI)
The Medical Text includes FOUR corpuses of content created by the Team at LPBI USA since 4/2012:
128,000 page download on Amazon.com – Cover Pages and electronic Table of Contents (eTOCs) of the 18 books are been translated to Spanish in Madrid, now
+6,200 Biological Images with text legend in use by the +6,000 articles – in the Media Galleryof LPBI on WordPress.com cloud. Mission #1 has increased the number of Biological images from 5,100 to +6,200
At LPBI India, been considered for the Leadership function for Mission #1: Dr. Vivek Lal, MD
We jointly presented their NLP results on our content in oncology to a Top HMO/Healthcare Insurer in UT on July 13, 2021. We are invited for additional meetings with both organizations: the HMO and the Healthcare Insurer
LPBI USA developed a ten-phase Protocol for our own content been subjected to Medical Text Analysis with NLP, ML, AI using Wolfram language for BioSciences
LPBI India will be involved in all of the ten-phase Protocol in using NLP, ML, AI
LPBI is in alliance with BurstIQ, Denver, CO https://www.burstiq.com/for Blockchain design for a Transactions Network for Content monetization: B2B and B2C. That process involve Indexing and data migration. LPBI India will play a role in these tasks as well
Mission #2:
Applications of Synthetic Biology Software to Galectins for design of new drug molecules.
Collaboration with Raphael Nir of ABI Lab and SBH, Inc in Natick, MA. We will have in 4Q’2021 a dedicated meeting on Mission #2.
LPBI India will play a role in these tasks, please review:
Dr. Ajay Gupta of UC, Irvine, Scientific Advisor to LPBI USA, frequent presentation on LPBI’s SCIENCE SIDE – Global Monthly Zoom
Ten Minuteson on Clinical Trials for RAMATROBAN – Opportunities for Collaboration between His Company in USA & LPBI India, Dr. Lal’s Hospital and other Hospitals in India
Ramatroban is a thromboxane receptor antagonist. It is also a DP₂ receptor antagonist. It is indicated for the treatment of coronary artery disease. It has also been used for the treatment of asthma. Wikipedia
Sriram,Student Westford Academy, MA – Born in India, thus, LPBI USA & LPBI India
Anand, Student Westford Academy, MA – Born in India, thus, LPBI USA & LPBI India
Ethan Coomber, Middlebury College, VT – Research Assistant 3, Text to Audio Conversion and Twitter Analytics
Vaishnavee Joshi, MSc – Joining LPBI India on 8/15/2021
Alumni of LPBI USA are invited to join us on Monday, July 19, 2021, 11AM EST
Probodh Kandala, PhD, Regulatory Affairs Manager @ IQVIA Biotech; Drug Development Leader, Expert, Author, Writer with scientific reporting articlesin multiple of LPBI e-Books, chiefly Cancer and Immunology
Rehearsal for the Presentation at 3:30PM EST with Linguamatics at the Insurer
On July 13, 2021 at 3:30PM EST – we have a major Presentation on Zoom with Linguamatics on NLP on LPBI’s Cancer & Oncology Content, Proof-of-Concept on Research Categories and Book Chapters
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AGENDA for 8-June, 2021
2.0 LPBI – Global Monthly Zoom Meetings in 2021
ALLIANCES SIDE – 11AM EST – 1PM EST
11AM EST – Presentation by Montero Language Services, Madrid, Spain – 15 minutes
Translation of each book Cover Page and each book electronic Table of Contents
Series A: Cardiovascular 6 volumes – Translated was completed – New Format was applied to Volumes 1 & 2, to be followed by Volumes 3,4,5,6
Series B: Genomics – was submitted for Translation
Series C, D, E – application of New Format is work-in-progress
Strategy for Promotion of Spanish Translation of LPBI’s BioMed e-Series of 18 Volumes in Medicine
Several channels for content promotion will be presented
12 – 1PM EST Aviva provides Briefing
The Spanish translation is an intent to increase and create MORE value for the LPBI 1.0 assets for sale
WE WISH TO EXERCISE AN OUTRIGHT SALE OF ASSETS IN THE CONTEXT OF A TURNAROUND – therefore WE requested QUOTES for NLP and for BLOCKCHAIN
Spanish translation enables RE-Publishing of each Book with a Bi-Lingual eTOCs and Cover Page
Spanish translation enables launch of a new Website for Spanish Speaking Scholarsaround the books
Spanish translation will generate Traffic and comments and book sales and Pages Downloads
Montero Language Services brought to the Table GTO for the PR and Buzz about the Spanish Translation
Montero Language Services might be seeking Government FUNDING for the Translation of ALL the Books in their entirety vs 2021 Translation of Cover Pages and eTOCs.
LPBI will give Montero Permission to publish all the books in their entirety in Spanish
BUSINESS SIDE – 1PM EST – 5PM EST
1PM EST Stefan Kienitz, CEO Patentmanager.de GmbH – Confirmed – 30 Minutes
Virtual Marking – for the first time with court-proof evidence – DLT Blockchained – with only one sticker identical for all products – without time-consuming ERP system assignment (patents/design/trademarks) – with fully automated legal statuses – pending/granted/lapsed – to secure your claims for damages – in USA+UK+AU Without marking – no damage compensation! Maybe the new feature – the DLT Blockchain Technology – can convince you? First information under: https://patentmanager.de/en/virtual-marking-ip-rights-watch
We consider 1 Summer INTERN that will work on Conversion of our articles in the Research Category “Interviews with Scientific Leaders” – a List of 283 articles into a Library of PODCASTS
3:30PM EXT – Dr. John McCarthy – An Insider’s View to Pharma and HC Insurance Payers – 40 minutes
4:10PM EST – Aviva’s Summary – 20 minutes
LPBI strategy is for BLOCKCHAIN technology to be MARRIED to NLP FOR CONTENT MONETIZATION
LPBI is Seeking collaboration with Pharma and/or clinical decision support/healthcare research for building a Use Case for NLP on LPBI’s Contents able to serve both Pharma and CROs and Payers
We are trying the Healthcare Insurer for that purpose – demonstrate value to a PAYER
WE requested QUOTES for NLP and Blockchain TO CREATE THE POTENTIAL FUTURE FOR 2.0 LPBI
WHY BUY 1.0 LPBI nine IP Assets?
BECAUSE YOU CAN DO NLP AND Monetize content on BLOCKCHAIN transactions network
To sell the IP ASSETS you need to create the Future Vision about WHAT CAN BE DONE WITH WHAT YOU BUY
That vision is created by running NLP and create the blueprint design for a Digital Store inside a HEALTHCARE Digital Marketplace which is connected to a Blockchain Transactions Network for SELLING CONTENT B2B and B2C
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AGENDA for 11-May, 2021
2.0 LPBI – Global Monthly Zoom Meetings in 2021
SCIENCE SIDE – 11AM EST – 1PM EST
Internal Discussion by Medical Text Analysis with NLP Team – Dr. Williams explains PPT by Linguamatics
External Science Presentation – TBA
BUSINESS SIDE – 1PM EST – 5PM EST
Presentations to LPBI BOARD on May 11, 2021
By
3rd Parties, Guest Presenters
Olivier Jarry, Atlas Advisors, NY, NY
Dr. McCarthy, Confidential Healthcare Insurer, Canton, MA
Fritz Handtke, Montero, Madrid, Spain
Olivier Jarry– your presentation on May 11, 2021 1PM EST (60 minutes) – should be a TAILORED presentation of your approach for the situation presented in this document
Internal Discussionon Olivier’s Presentation May 11, 2021 2PM EST (20 minutes)
McCarthy – your presentation on May 11, 2021 2:20PM EST (20 minutes) – AI in Healthcare: Context for NLP
Fritz Handtke– your presentation on May 11, 2021 2:40PM EST (20 minutes) – Brief statement of the state of affairs on
the Spanish Translation, and on
the Joint Marketing Campaign
Attn: LPBI External Relations:
Mr. Bahl, Mr. Gamota, Mr. Halpern
May 11, 2021 3PM EST – Please eachpresent 20 minutes,
Your own approach to the situation presented in this document
What is your approach for Part 3 in the attachment?? See it here UPDATED on 4/25/2021
Forthcoming meetings with Linguamatics/IQVIA – Meeting #2 and #3
PPT #1: Description of 1.0 LPBI and 2.0 LPBI as in this document – needed for the Presentation to HC Insurer
PPT #2: How a Joint Marketing Campaign AND a business partnership [IQVIA, HC Insurer] can be used for TofO
PPT #3: Creative approaches to prospecting for TofO – needed in interactions with M&A agencies
Attn: Dr. Ofer
By May 5, 2021 – >> Please create AT LEAST ten IDEASthat Joel needs to incorporate into the three PPTs
Attn: Dr. Williams, Dr. Pearlman – 30 minutes
On May 11, 2021 4:30PM EST – 15 minutes each PPT
I wish and need to receive from each of you
Comments by Dr. Pearlman on the core technologies: NLP and Blockchain
Comments by Dr. Williams on HOW to improve the document and Submit an Improved version with Tracking changes in color
SUMMARY – AVIVA – 10 minutes
THANK YOU
See you all on
May 11, 2021 at 1PM Business Side
May 11, 2021 at 11AM Science Side
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AGENDA for 6-April, 2021
2.0 LPBI – Global Monthly Zoom Meetings in 2021
SCIENCE SIDE – 11AM EST – 1PM EST
Tetz & Dr. Kogan– Summary of Discovery and Discussion – Drug-Device Antibiotic resistance – 60 minutes
Gupta – The Genesis and Chemoprophylaxis of AstraZeneca Vaccine induced Thrombotic Events?
Comments by Williams
BUSINESS SIDE – 1PM EST – 4PM EST
1PM – 1:45PM Presentation: Dan Halpern
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Relevant experience to LPBI’s SPACE & Perspective on Strategic Positioning of LPBI
1:45PM – 2:15PM Q&A
2:15PM – 3:15PM JOEL on PPT & Own Views on Strategic Positioning of LPBI
3:15PM – 4PM EST Aviva on Milestones of 2.0 LPBI 1Q 2021 and Plans for 2Q 2021
MEDICAL TEXT ANALYSIS WITH NLP TEAM
REMINDER: APRIL 15, 2021 10AM EST
PPT PRESENTATION WITH LINGUAMATICS
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AGENDA for 9 MARCH, 2021
2.0 LPBI – Global Monthly Zoom Meetings in 2021
SCIENCE SIDE – 11AM EST – 1PM EST
9-Mar-21
Dr. Tetz 30 minutes – Drug-Device Antibiotic resistance
Dr. Kogan 30 minutes – Drug-Device Antibiotic resistance
Dr. Ajay Gupta & Prof. Saul Yedgar – 30 minutes discussion [No PPT presentations]
Ajay Gupta, MD – UC, Irvine, CA
Clinical Professor, Division of Nephrology, Hypertension and Kidney Transplantation, University of California Irvine, Chief Scientific Officer, Rockwell Medical Inc., www.rockwellmed.com President & CSO, Applied Medical Technologies LLC
Ramatroban, a thromboxane A2 receptor antagonist for thrombo-inflammation in COVID-19’
Saul Yedgar – Hebrew University Medical School, Jerusalem, Israel
Inclusive vs. Selective Control Of Inflammatory Lipid Mediators for Treating Inflammatory Conditions
BUSINESS SIDE – 1PM EST – 4PM EST
1PM – 1:30PM Presentation
1:30PM -1:45PM Q&A
DS, CMAA, Medworld Advisors, Andover, MA
Global M&A; Outsourced Biz Development Leader (B,D&L) for Medical SME and Emerging Tech Companies
1:45PM – 2:15PM Presentation
2:15PM – 2:30PM Q&A
I_del_C, Madrid, Spain
Global Operations Director, Montero LS
2:30PM – 3:00PM Presentation
3:00PM – 3:15PM Q&A
MvR, MD, Helsinki, Finland
Senior Business Advisor Invest, Capital Helsinki area (Health; Med-Tech, Pharma). SPECIALIST IN INTERNATIONAL BUSINESS
3:15PM – 4:00PM LPBI – Goal attainment in last 4 weeks
Aviva
Joel
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AGENDA for 9-February-2021
2.0 LPBI – Global Monthly Zoom Meetings in 2021
SCIENCE SIDE – 11AM EST – 1PM EST
Ajay Gupta, MD – 30 minutes
Clinical Professor, Division of Nephrology, Hypertension and Kidney Transplantation, University of California Irvine, Chief Scientific Officer, Rockwell Medical Inc., www.rockwellmed.com President & CSO, Applied Medical Technologies LLC
‘Ramatroban, a thromboxane A2 receptor antagonist for thrombo-inflammation in COVID-19’
Prof. Fitzgerald proposes that thromoboxane A2 and PGD2 receptor antagonists can serve as antithrombotic and immunomodulatory agents in COVID-19 respectively.
Ramatroban is the only dual Thromboxane A2 / TP and PGD2/DPr2 receptor antagonist. Ramatroban has an excellent safety profile having been used for allergic rhinitis in Japan for past 20 years.
Ramatroban is ideally suited for treatment of COVID-19 at all stages of the disease and all severities. FDA has allowed us to proceed with clinical trials but Bayer has declined to provide the drug.
It is tragic because children, even those with mild symptoms, exhibit microvascular thrombosis and thrombotic microangiopathy (Diorio et al, 2020). Many children have recovered from acute illness but suffering from long COVID.
Yigal Blum – ex-VP, SRI International – 15 minutes
Clinical Trial with New Drug for COVID-19: amorphous structure and nanometric size CaCO3
crystalline and large particles of CaCO3 has no effect on our activities, as it has the usual efficacy of the calcium substance mostly used in the food supplement market. Our ACC is unique because of its amorphous structure and nanometric size.
BUSINESS SIDE – 1PM EST – 4PM EST
1PM EST – 1:30PM EST – Professor James Jordan, CMU
CEO of StraTactic, Inc. | Strategic Healthcare Consultant | Healthcare Professor, Carnegie Mellon | Former Fortune 20 Executive
(b) the results of PRIORITY #1, above: Medical Text Analysis using NLP, ML-AI
PRIORITY #3
DESIGN of CONTENT PROMOTION campaigns
12:45PM EST – 1:00PM EST
Conxa Catot, Contentednet.com, Barcelona, Spain
Introductions of LPBI in the Publishing and Pharmaceutical Sectors in Spain
Explorations for Translation from English to Spanish the electronic Table of Contents (eTOCs) for 1.0 LPBI’s BioMed e-Series: 17 e-Books in Medicine
1PM EST – 2:00PM EST
Martin R. Schiller, PhD
Chairman, CEO, and Founder, Heligenics Inc.
Executive Director, NV Institute of Personalized Medicine (UNLV)
Prabhu Endowed Professor
Principal Investigator, Schiller Laboratory of Applied Bioinformatics
Principal Investigator, Personalized Medicine In NV COBRE
Gene Mutation Functional Libraries (GMLs) meet four needs at many stages of the drug development pipeline in the pharmaceutical industry:
Preclinical drug evaluation. You can better select compound to advance to human testing by understanding how common human genetic variation will influence resistance, poor efficacy, and cytotoxicity prior to an expensive clinical trial.
Superprecision clinical trials. The GMLs are a panel of genetic markers in the drug target gene for segregating participants into different arms in a clinical trials. An arm excluding participants with genetic variants that are susceptible to resistance, poor efficacy or cytotoxicity enables a better clinical trial design. Our product uses all genetic variants in a target gene, whereas it is common practice to use a single genetic marker for a targeted therapy.
Rescuing drugs that failed in a clinical trial. Similar to drug development, you can take a therapy that previously failed in a clinical trial by redesigning a new clinical trial as above. Thereby a failed conventional therapy can be converted into a successful targeted therapy.
Identify Off-target receptors.The FDA requires investigation of off-target drug effects. We experimentally measure drug stimulation of cell signaling pathways for each human receptor with our GigaAssay platform. Identifying off-target receptors can help to select better lead and derivative compounds to limit adverse effects in a future trial or to identify new receptors for repurposing drugs for new indications.
BUSINESS SIDE – 2PM EST – 4PM EST
2PM EST – 3PM EST – Amber Harley
Proposal of IT Architecture for 2.0 LPBI Strategies for Content Monetization IT Transaction infrastructure with Blockchain Ledger features and Permissions & Recommendation engine
Existing 1.0 LPBI IP of four Corpuses
(a) Journal Articles (+6,000)
(b) 17 Books in Medicine
(c) 100 Volumes of e-Proceedings & Tweet Collections
(d) Gallery of Biological Images (+5000)
Starting 2021 – To be created 2.0 LPBI IP using (a), (b), (c), (d)
2.1 Medical Text Analysis with NLP, ML-AI: DBs for WordClouds and Hyper-graphs
1.1 Starting with All 17 Books: Step 1: 2 volumes in Genomics and 2 in Cancer
1.2 Adding Audio capability to All Articles in 17 Books
1.3 Foreign Languages Translation of ALL 17 eTOCs and of the Domain Knowledge Experts Interpretation to Hyper-graphs
3:00PM EST – 4:00PM EST – 2.0 LPBI Internal Affairs
Williams – Proof of Concept – Planning Meeting with Insurer
– DeepLearning AI
Bari Weiss @ FreePress@bariweissTHREAD: THE TWITTER FILES PART TWO. TWITTER’S SECRET BLACKLISTS.
2012pharmaceutical
sjwilliamspa
(Posted by Mushtaq Bilal, PhD on LinkedIn on 5/8/2023.
Combined these threads have 26M+ views)
1. How to use ChatGPT as your personal writing assistant.
https://lnkd.in/eZjpXbvj
2. How to use ChatGPT as your reading assistant.
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3. How to use ChatGPT to create structure and not content.
https://lnkd.in/egQavc2B
4. How to use ChatGPT to prepare for a scholarship interview.
https://lnkd.in/eCAqJsAp
5. How to prompt ChatGPT *incrementally* to get the best results.
https://lnkd.in/eZirCCuE
6. How NOT to use ChatGPT.
https://lnkd.in/edtgJCFw
Want to learn more about how to supercharge your academic writing with AI apps?
Mushtaq Bilal, PhD had a complete tutorial of 170+ slides for you.
It’s being used by 1300+ academics including those at Harvard, Stanford, and Columbia.
You can get it here:
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7. How to train ChatGPT to think like a Stanford professor.
https://lnkd.in/eT_Wm3WZ
8. How to get around fake citations ChatGPT generates.
https://lnkd.in/eNb4YJ2H
9. How to train ChatGPT to write in your own style.
https://lnkd.in/e95-rSRq
10. ChatGPT prompts to make academic reading/writing easier and faster.
https://lnkd.in/eAKjVguJ
11. Five dumb ways of using ChatGPT and five smart.
https://lnkd.in/ewjSzatn
12. Five prompts to help you polish your academic prose.
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