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Archive for the ‘Artificial Intelligence in CANCER’ Category


Renal tumor macrophages linked to recurrence are identified using single-cell protein activity analysis

Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc

When malignancy returns after a period of remission, it is called a cancer recurrence. After the initial or primary cancer has been treated, this can happen weeks, months, or even years later. The possibility of recurrence is determined by the type of primary cancer. Because small patches of cancer cells might stay in the body after treatment, cancer might reoccur. These cells may multiply and develop large enough to cause symptoms or cause cancer over time. The type of cancer determines when and where cancer recurs. Some malignancies have a predictable recurrence pattern.

Even if primary cancer recurs in a different place of the body, recurrent cancer is designated for the area where it first appeared. If breast cancer recurs distantly in the liver, for example, it is still referred to as breast cancer rather than liver cancer. It’s referred to as metastatic breast cancer by doctors. Despite treatment, many people with kidney cancer eventually develop cancer recurrence and incurable metastatic illness.

The most frequent type of kidney cancer is Renal Cell Carcinoma (RCC). RCC is responsible for over 90% of all kidney malignancies. The appearance of cancer cells when viewed under a microscope helps to recognize the various forms of RCC. Knowing the RCC subtype can help the doctor assess if the cancer is caused by an inherited genetic condition and help to choose the best treatment option. The three most prevalent RCC subtypes are as follows:

  • Clear cell RCC
  • Papillary RCC
  • Chromophobe RCC

Clear Cell RCC (ccRCC) is the most prevalent subtype of RCC. The cells are clear or pale in appearance and are referred to as the clear cell or conventional RCC. Around 70% of people with renal cell cancer have ccRCC. The rate of growth of these cells might be sluggish or rapid. According to the American Society of Clinical Oncology (ASCO), clear cell RCC responds favorably to treatments like immunotherapy and treatments that target specific proteins or genes.

Researchers at Columbia University’s Vagelos College of Physicians and Surgeons have developed a novel method for identifying which patients are most likely to have cancer relapse following surgery.

The study

Their findings are detailed in a study published in the journal Cell entitled, “Single-Cell Protein Activity Analysis Identifies Recurrence-Associated Renal Tumor Macrophages.” The researchers show that the presence of a previously unknown type of immune cell in kidney tumors can predict who will have cancer recurrence.

According to co-senior author Charles Drake, MD, PhD, adjunct professor of medicine at Columbia University Vagelos College of Physicians and Surgeons and the Herbert Irving Comprehensive Cancer Center,

the findings imply that the existence of these cells could be used to identify individuals at high risk of disease recurrence following surgery who may be candidates for more aggressive therapy.

As Aleksandar Obradovic, an MD/PhD student at Columbia University Vagelos College of Physicians and Surgeons and the study’s co-first author, put it,

it’s like looking down over Manhattan and seeing that enormous numbers of people from all over travel into the city every morning. We need deeper details to understand how these different commuters engage with Manhattan residents: who are they, what do they enjoy, where do they go, and what are they doing?

To learn more about the immune cells that invade kidney cancers, the researchers employed single-cell RNA sequencing. Obradovic remarked,

In many investigations, single-cell RNA sequencing misses up to 90% of gene activity, a phenomenon known as gene dropout.

The researchers next tackled gene dropout by designing a prediction algorithm that can identify which genes are active based on the expression of other genes in the same family. “Even when a lot of data is absent owing to dropout, we have enough evidence to estimate the activity of the upstream regulator gene,” Obradovic explained. “It’s like when playing ‘Wheel of Fortune,’ because I can generally figure out what’s on the board even if most of the letters are missing.”

The meta-VIPER algorithm is based on the VIPER algorithm, which was developed in Andrea Califano’s group. Califano is the head of Herbert Irving Comprehensive Cancer Center’s JP Sulzberger Columbia Genome Center and the Clyde and Helen Wu professor of chemistry and systems biology. The researchers believe that by including meta-VIPER, they will be able to reliably detect the activity of 70% to 80% of all regulatory genes in each cell, eliminating cell-to-cell dropout.

Using these two methods, the researchers were able to examine 200,000 tumor cells and normal cells in surrounding tissues from eleven patients with ccRCC who underwent surgery at Columbia’s urology department.

The researchers discovered a unique subpopulation of immune cells that can only be found in tumors and is linked to disease relapse after initial treatment. The top genes that control the activity of these immune cells were discovered through the VIPER analysis. This “signature” was validated in the second set of patient data obtained through a collaboration with Vanderbilt University researchers; in this second set of over 150 patients, the signature strongly predicted recurrence.

These findings raise the intriguing possibility that these macrophages are not only markers of more risky disease, but may also be responsible for the disease’s recurrence and progression,” Obradovic said, adding that targeting these cells could improve clinical outcomes

Drake said,

Our research shows that when the two techniques are combined, they are extremely effective at characterizing cells within a tumor and in surrounding tissues, and they should have a wide range of applications, even beyond cancer research.

Main Source

Single-cell protein activity analysis identifies recurrence-associated renal tumor macrophages

https://www.cell.com/cell/fulltext/S0092-8674(21)00573-0

Other Related Articles published in this Open Access Online Scientific Journal include the following:

Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes

Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc

https://pharmaceuticalintelligence.com/2021/05/04/machine-learning-ml-in-cancer-prognosis-prediction-helps-the-researcher-to-identify-multiple-known-as-well-as-candidate-cancer-diver-genes/

Renal (Kidney) Cancer: Connections in Metabolism at Krebs cycle  and Histone Modulation

Curator: Demet Sag, PhD, CRA, GCP

https://pharmaceuticalintelligence.com/2015/10/14/renal-kidney-cancer-connections-in-metabolism-at-krebs-cycle-through-histone-modulation/

Artificial Intelligence: Genomics & Cancer

https://pharmaceuticalintelligence.com/ai-in-genomics-cancer/

Bioinformatic Tools for Cancer Mutational Analysis: COSMIC and Beyond

Curator: Stephen J. Williams, Ph.D.

https://pharmaceuticalintelligence.com/2015/12/02/bioinformatic-tools-for-cancer-mutational-analysis-cosmic-and-beyond-2/

Deep-learning AI algorithm shines new light on mutations in once obscure areas of the genome

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2014/12/24/deep-learning-ai-algorithm-shines-new-light-on-mutations-in-once-obscure-areas-of-the-genome/

Premalata Pati, PhD, PostDoc in Biological Sciences, Medical Text Analysis with Machine Learning

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/premalata-pati-phd-postdoc-in-pharmaceutical-sciences-medical-text-analysis-with-machine-learning/

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Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes

Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc

This image has an empty alt attribute; its file name is morethanthes.jpg
Seeing “through” the cancer with the power of data analysis — possible with the help of artificial intelligence. Credit: MPI f. Molecular Genetics/ Ella Maru Studio
Image Source: https://medicalxpress.com/news/2021-04-sum-mutations-cancer-genes-machine.html

Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low-risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) and Artificial Intelligence (AI) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions by predicting new algorithms.

In the majority of human cancers, heritable loss of gene function through cell division may be mediated as often by epigenetic as by genetic abnormalities. Epigenetic modification occurs through a process of interrelated changes in CpG island methylation and histone modifications. Candidate gene approaches of cell cycle, growth regulatory and apoptotic genes have shown epigenetic modification associated with loss of cognate proteins in sporadic pituitary tumors.

On 11th November 2020, researchers from the University of California, Irvine, has established the understanding of epigenetic mechanisms in tumorigenesis and publicized a previously undetected repertoire of cancer driver genes. The study was published in “Science Advances

Researchers were able to identify novel tumor suppressor genes (TSGs) and oncogenes (OGs), particularly those with rare mutations by using a new prediction algorithm, called DORGE (Discovery of Oncogenes and tumor suppressor genes using Genetic and Epigenetic features) by integrating the most comprehensive collection of genetic and epigenetic data.

The senior author Wei Li, Ph.D., the Grace B. Bell chair and professor of bioinformatics in the Department of Biological Chemistry at the UCI School of Medicine said

Existing bioinformatics algorithms do not sufficiently leverage epigenetic features to predict cancer driver genes, even though epigenetic alterations are known to be associated with cancer driver genes.

The Study

This study demonstrated how cancer driver genes, predicted by DORGE, included both known cancer driver genes and novel driver genes not reported in current literature. In addition, researchers found that the novel dual-functional genes, which DORGE predicted as both TSGs and OGs, are highly enriched at hubs in protein-protein interaction (PPI) and drug/compound-gene networks.

Prof. Li explained that the DORGE algorithm, successfully leveraged public data to discover the genetic and epigenetic alterations that play significant roles in cancer driver gene dysregulation and could be instrumental in improving cancer prevention, diagnosis and treatment efforts in the future.

Another new algorithmic prediction for the identification of cancer genes by Machine Learning has been carried out by a team of researchers at the Max Planck Institute for Molecular Genetics (MPIMG) in Berlin and the Institute of Computational Biology of Helmholtz Zentrum München combining a wide variety of data analyzed it with “Artificial Intelligence” and identified numerous cancer genes. They termed the algorithm as EMOGI (Explainable Multi-Omics Graph Integration). EMOGI can predict which genes cause cancer, even if their DNA sequence is not changed. This opens up new perspectives for targeted cancer therapy in personalized medicine and the development of biomarkers. The research was published in Nature Machine Intelligence on 12th April 2021.

In cancer, cells get out of control. They proliferate and push their way into tissues, destroying organs and thereby impairing essential vital functions. This unrestricted growth is usually induced by an accumulation of DNA changes in cancer genes—i.e. mutations in these genes that govern the development of the cell. But some cancers have only very few mutated genes, which means that other causes lead to the disease in these cases.

The Study

Overlap of EMOGI’s positive predictions with known cancer genes (KCGs) and candidate cancer genes
Image Source: https://static-content.springer.com/esm/art%3A10.1038%2Fs42256-021-00325-y/MediaObjects/42256_2021_325_MOESM1_ESM.pdf

The aim of the study has been represented in 4 main headings

  • Additional targets for personalized medicine
  • Better results by combination
  • In search of hints for further studies
  • Suitable for other types of diseases as well

The team was headed by Annalisa Marsico. The team used the algorithm to identify 165 previously unknown cancer genes. The sequences of these genes are not necessarily altered-apparently, already a dysregulation of these genes can lead to cancer. All of the newly identified genes interact closely with well-known cancer genes and be essential for the survival of tumor cells in cell culture experiments. The EMOGI can also explain the relationships in the cell’s machinery that make a gene a cancer gene. The software integrates tens of thousands of data sets generated from patient samples. These contain information about DNA methylations, the activity of individual genes and the interactions of proteins within cellular pathways in addition to sequence data with mutations. In these data, a deep-learning algorithm detects the patterns and molecular principles that lead to the development of cancer.

Marsico says

Ideally, we obtain a complete picture of all cancer genes at some point, which can have a different impact on cancer progression for different patients

Unlike traditional cancer treatments such as chemotherapy, personalized treatments are tailored to the exact type of tumor. “The goal is to choose the best treatment for each patient, the most effective treatment with the fewest side effects. In addition, molecular properties can be used to identify cancers that are already in the early stages.

Roman Schulte-Sasse, a doctoral student on Marsico’s team and the first author of the publication says

To date, most studies have focused on pathogenic changes in sequence, or cell blueprints, at the same time, it has recently become clear that epigenetic perturbation or dysregulation gene activity can also lead to cancer.

This is the reason, researchers merged sequence data that reflects blueprint failures with information that represents events in cells. Initially, scientists confirmed that mutations, or proliferation of genomic segments, were the leading cause of cancer. Then, in the second step, they identified gene candidates that are not very directly related to the genes that cause cancer.

Clues for future directions

The researcher’s new program adds a considerable number of new entries to the list of suspected cancer genes, which has grown to between 700 and 1,000 in recent years. It was only through a combination of bioinformatics analysis and the newest Artificial Intelligence (AI) methods that the researchers were able to track down the hidden genes.

Schulte-Sasse says “The interactions of proteins and genes can be mapped as a mathematical network, known as a graph.” He explained by giving an example of a railroad network; each station corresponds to a protein or gene, and each interaction among them is the train connection. With the help of deep learning—the very algorithms that have helped artificial intelligence make a breakthrough in recent years – the researchers were able to discover even those train connections that had previously gone unnoticed. Schulte-Sasse had the computer analyze tens of thousands of different network maps from 16 different cancer types, each containing between 12,000 and 19,000 data points.

Many more interesting details are hidden in the data. Patterns that are dependent on particular cancer and tissue were seen. The researchers were also observed this as evidence that tumors are triggered by different molecular mechanisms in different organs.

Marsico explains

The EMOGI program is not limited to cancer, the researchers emphasize. In theory, it can be used to integrate diverse sets of biological data and find patterns there. It could be useful to apply our algorithm for similarly complex diseases for which multifaceted data are collected and where genes play an important role. An example might be complex metabolic diseases such as diabetes.

Main Source

New prediction algorithm identifies previously undetected cancer driver genes

https://advances.sciencemag.org/content/6/46/eaba6784  

Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms

https://www.nature.com/articles/s42256-021-00325-y#citeas

Other Related Articles published in this Open Access Online Scientific Journal include the following:

AI System Used to Detect Lung Cancer

Reporter: Irina Robu, PhD

https://pharmaceuticalintelligence.com/2019/06/28/ai-system-used-to-detect-lung-cancer/

Deep Learning extracts Histopathological Patterns and accurately discriminates 28 Cancer and 14 Normal Tissue Types: Pan-cancer Computational Histopathology Analysis

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/10/28/deep-learning-extracts-histopathological-patterns-and-accurately-discriminates-28-cancer-and-14-normal-tissue-types-pan-cancer-computational-histopathology-analysis/

Evolution of the Human Cell Genome Biology Field of Gene Expression, Gene Regulation, Gene Regulatory Networks and Application of Machine Learning Algorithms in Large-Scale Biological Data Analysis

Curator & Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/12/08/evolution-of-the-human-cell-genome-biology-field-of-gene-expression-gene-regulation-gene-regulatory-networks-and-application-of-machine-learning-algorithms-in-large-scale-biological-data-analysis/

Cancer detection and therapeutics

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/05/02/cancer-detection-and-therapeutics/

Free Bio-IT World Webinar: Machine Learning to Detect Cancer Variants

Reporter: Stephen J. Williams, PhD

https://pharmaceuticalintelligence.com/2016/05/04/free-bio-it-world-webinar-machine-learning-to-detect-cancer-variants/

Artificial Intelligence: Genomics & Cancer

https://pharmaceuticalintelligence.com/ai-in-genomics-cancer/

Premalata Pati, PhD, PostDoc in Biological Sciences, Medical Text Analysis with Machine Learning

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/premalata-pati-phd-postdoc-in-pharmaceutical-sciences-medical-text-analysis-with-machine-learning/

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Tweets & Retweets by @pharma_BI and @AVIVA1950 at #BioIT20, 19th Annual Bio-IT World 2020 Conference, October 6-8, 2020 in Boston

 

Virtual Conference coverage in Real Time: Aviva Lev-Ari, PhD, RN

 

Amazing conference ended at 2PM on October 8, 2020

e-Proceedings 19th Annual Bio-IT World 2020 Conference, October 6-8, 2020 Boston

Virtual Conference coverage in Real Time: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2020/03/26/19th-annual-bio-it-world-2020-conference-october-6-8-2020-in-boston/

Review Tweets and Retweets

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#BioIT20 Plenary Keynote: cutting innovative approach to #Science #Game On: How #AI, #CitizenScience #HumanComputation are facilitating the next leap forward in #Genomics and in #Biology may be in #PrecisionMedicine in the Future @pharma_BI @AVIVA1950 pic.twitter.com/L52qktkeYc

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#BioIT20 Plenary Keynote: cutting innovative approach to #Science #Game On: How #AI, #CitizenScience #HumanComputation are facilitating the next leap forward in #Genomics and in #Biology may be in #PrecisionMedicine in the Future @pharma_BI @AVIVA1950 pic.twitter.com/L52qktkeYc

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#BioIT20 Plenary Keynote: cutting innovative approach to #Science #Game On: How #AI, #CitizenScience #HumanComputation are facilitating the next leap forward in #Genomics and in #Biology may be in #PrecisionMedicine in the Future @pharma_BI @AVIVA1950 pic.twitter.com/L52qktkeYc

NIH Office of Data Science Strategy
@NIHDataScience

We’ve made progress with #FAIRData, but we still have a ways to go and our future is bright. #BioIT20 #NIHData

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Aviva Lev-Ari
@AVIVA1950

#BioIT20

Driving Scientific Discovery with Data Digitization great ideas shared by moderator Timothy Gardner

#CEO Inspiration from History Total Quality Implementation is key for BioScience Data #AI won’t solve the problem #Data #Quality will

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Rob Lalonde
@HPC_Cloud_Rob

My #BioIT20 talk, “#Bioinformatics in the #Cloud Age,” is tomorrow at 3:30pm. I discuss cloud migration trends in life sciences and #HPC. Join us! A panel with

and

follows the talk.

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Jean Marois
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My team is participating in Bio-IT World Virtual 2020, October 6-8. Join me! Use discount code 20NUA to save 20%! invt.io/1tdbae9s8lp

#BioIT20

I’m going to Bio-IT World 2020, Oct 6-8, from home! Its a virtual event. Join me!
My team is participating in Bio-IT World Virtual 2020, October 6-8. Join me! Use discount code 20NUA to save 20%! @bioitworld #BioIT20
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NIH Office of Data Science Strategy
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One of the challenges we face today: we need an algorithm that can search across the 36+ PB of Sequence Read Archive (SRA) data now in the cloud. Imagine what we could do! #BioIT20 #NIHdata #SRAdata

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NCBI Staff
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NCBI’s virtual #BioIT20 booth will open in 15 minutes. There, you can watch videos, grab some flyers and even speak with an expert! bio-itworld.pathable.co/organizations/ The booth will close at 4:15 PM, but we’ll be back tomorrow, Oct 7 and Thursday, Oct 8 at 9AM.
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PERCAYAI
@percayai

Happening soon at #BioIT20: Join our faculty inventor Professor Rich Head’s invited talk “CompBio: An Augmented Intelligence System for Comprehensive Interpretation of Biological Data.”
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This was a good discussion
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Cambridge Innovation
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RT percayai: We’ve put together what’s sure to be a thought-provoking discussion group for #BioIT20 “Why Current Approaches Using #AI in #…
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Cambridge Innovation
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RT VishakhaSharma_: Excited to speak and moderate a panel on Emerging #AI technologies bioitworld #BioIT20
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Titian Software
@TitianSoftware

Meet Titian at #BioIT20 on 6-8th October and discover the latest research, science and solutions for exploring the world of precision medicine and the technologies that are powering it: bit.ly/2GjCj4B

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PERCAYAI
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Thanks for joining us, Wendy! You’ve done a great job summing up key points from the discussion. #BioIT20
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Aviva Lev-Ari
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#NIHhealthInitiative #BioItWorld20

Out standing Plenary Keynote on #DataScience

CONNECTED DATA ECOSYSTEM FAIR Foundable, Accessible, Interoperable, reusable

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2020 AAAI US$1M Annual Award for Societal Impact of Artificial Intelligence goes to MIT’s CSAIL Professor, Regina Barzilay

UPDATED on 3/14/2021

AI reduces variability in breast density reporting

By Erik L. Ridley, AuntMinnie staff writer

“The model learns to make subjective assessments without the bias of human labeling for training, but with some guidance and therefore not completely unsupervised learning,” she said.

The software was assessed in a reader study using a set of 792 screening mammograms that included many challenging borderline samples and came from three institutions, two continents, and three vendors, according to Watanabe. The seven radiologists in the reader study had spent at least 75% of their time reading mammograms for the last three years and read more than 5,000 mammograms each year.

The readers had significant inter-reader variability in their density assessments, producing a kappa of 0.35 for the specific BI-RADS A-D category assessments, as well as a kappa of 0.6 in the less-challenging binary classification of dense versus nondense breast tissue, according to Watanabe.

The AI software also demonstrated a level of agreement with the reader results that correlated with the degree of reader consensus.

“In cases where there was 100% reader agreement, cmDensity was near perfect and was perfect for four-class and two-class assessments, respectively, with kappas of 0.97 and 1.0,” she said.

The few outlier assessments for the specific BI-RADS categories were off by just one BI-RADS class, Watanabe said.

The software was also superior in terms of intra-reader variability, yielding an intraclass correlation coefficient (ICC) of 0.99, compared with an ICC range of 0.70 to 0.82 for the radiologists, according to the researchers.

SOURCE

https://www.auntminnie.com/index.aspx?sec=sup&sub=wom&pag=dis&ItemID=131757

Barzilay’s work in AI, which ranges from tools for early cancer detection to platforms to identify new antibiotics, is increasingly garnering recognition: On Wednesday, the Association for the Advancement of Artificial Intelligence named Barzilay as the inaugural recipient of a new annual award honoring an individual developing or promoting AI for the good of society. The award comes with a $1 million prize sponsored by the Chinese education technology company Squirrel AI Learning.

Barzilay’s treatment was successful, and she believes her clinical team at MGH did the best they could in providing her with standard care. At the same time, she said, “it was extremely not satisfying to see how the simplest things that the technology can address were not addressed” — including a delayed diagnosis, an inability to collect data, and statistical flaws in studies used to make treatment decisions.

AAAI and Squirrel AI Learning Announce the Establishment of US$1M Annual Award for Societal Impact of Artificial Intelligence

May 28, 2019
Beijing, China

The Association for the Advancement of Artificial Intelligence (AAAI) and Squirrel AI Learning announced the establishment of a new $1M annual award for societal benefits of AI. The award will be sponsored by Squirrel AI Learning as part of its mission to promote the use of artificial intelligence with lasting positive effects for society.

The new Squirrel AI Award for Artificial Intelligence to Benefit Humanity was announced jointly by Derek Haoyang Li, Founder and Chairman of Squirrel AI Learning, and Yolanda Gil, President of AAAI, at the 2019 conference for AI for adaptive Education (AIAED) in Beijing.

https://aaai.org/Pressroom/Releases/release-19-0528.php

SOURCE

https://www.statnews.com/2020/09/23/regina-barzilay-mit-artificial-intelligence-award/?utm_source=STAT+Newsletters&utm_campaign=0bceb5f630-Daily_Recap&utm_medium=email&utm_term=0_8cab1d7961-0bceb5f630-150237109

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Systems Biology analysis of Transcription Networks, Artificial Intelligence, and High-End Computing Coming to Fruition in Personalized Oncology

Curator: Stephen J. Williams, Ph.D.

In the June 2020 issue of the journal Science, writer Roxanne Khamsi has an interesting article “Computing Cancer’s Weak Spots; An algorithm to unmask tumors’ molecular linchpins is tested in patients”[1], describing some early successes in the incorporation of cancer genome sequencing in conjunction with artificial intelligence algorithms toward a personalized clinical treatment decision for various tumor types.  In 2016, oncologists Amy Tiersten collaborated with systems biologist Andrea Califano and cell biologist Jose Silva at Mount Sinai Hospital to develop a systems biology approach to determine that the drug ruxolitinib, a STAT3 inhibitor, would be effective for one of her patient’s aggressively recurring, Herceptin-resistant breast tumor.  Dr. Califano, instead of defining networks of driver mutations, focused on identifying a few transcription factors that act as ‘linchpins’ or master controllers of transcriptional networks withing tumor cells, and in doing so hoping to, in essence, ‘bottleneck’ the transcriptional machinery of potential oncogenic products. As Dr. Castilano states

“targeting those master regulators and you will stop cancer in its tracks, no matter what mutation initially caused it.”

It is important to note that this approach also relies on the ability to sequence tumors  by RNA-seq to determine the underlying mutations which alter which master regulators are pertinent in any one tumor.  And given the wide tumor heterogeneity in tumor samples, this sequencing effort may have to involve multiple biopsies (as discussed in earlier posts on tumor heterogeneity in renal cancer).

As stated in the article, Califano co-founded a company called Darwin-Health in 2015 to guide doctors by identifying the key transcription factors in a patient’s tumor and suggesting personalized therapeutics to those identified molecular targets (OncoTarget™).  He had collaborated with the Jackson Laboratory and most recently Columbia University to conduct a $15 million 3000 patient clinical trial.  This was a bit of a stretch from his initial training as a physicist and, in 1986, IBM hired him for some artificial intelligence projects.  He then landed in 2003 at Columbia and has been working on identifying these transcriptional nodes that govern cancer survival and tumorigenicity.  Dr. Califano had figured that the number of genetic mutations which potentially could be drivers were too vast:

A 2018 study which analyzed more than 9000 tumor samples reported over 1.5 million mutations[2]

and impossible to develop therapeutics against.  He reasoned that you would just have to identify the common connections between these pathways or transcriptional nodes and termed them master regulators.

A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples

Chen H, Li C, Peng X, et al. Cell. 2018;173(2):386-399.e12.

Abstract

The role of enhancers, a key class of non-coding regulatory DNA elements, in cancer development has increasingly been appreciated. Here, we present the detection and characterization of a large number of expressed enhancers in a genome-wide analysis of 8928 tumor samples across 33 cancer types using TCGA RNA-seq data. Compared with matched normal tissues, global enhancer activation was observed in most cancers. Across cancer types, global enhancer activity was positively associated with aneuploidy, but not mutation load, suggesting a hypothesis centered on “chromatin-state” to explain their interplay. Integrating eQTL, mRNA co-expression, and Hi-C data analysis, we developed a computational method to infer causal enhancer-gene interactions, revealing enhancers of clinically actionable genes. Having identified an enhancer ∼140 kb downstream of PD-L1, a major immunotherapy target, we validated it experimentally. This study provides a systematic view of enhancer activity in diverse tumor contexts and suggests the clinical implications of enhancers.

 

A diagram of how concentrating on these transcriptional linchpins or nodes may be more therapeutically advantageous as only one pharmacologic agent is needed versus multiple agents to inhibit the various upstream pathways:

 

 

From: Khamsi R: Computing cancer’s weak spots. Science 2020, 368(6496):1174-1177.

 

VIPER Algorithm (Virtual Inference of Protein activity by Enriched Regulon Analysis)

The algorithm that Califano and DarwinHealth developed is a systems biology approach using a tumor’s RNASeq data to determine controlling nodes of transcription.  They have recently used the VIPER algorithm to look at RNA-Seq data from more than 10,000 tumor samples from TCGA and identified 407 transcription factor genes that acted as these linchpins across all tumor types.  Only 20 to 25 of  them were implicated in just one tumor type so these potential nodes are common in many forms of cancer.

Other institutions like the Cold Spring Harbor Laboratories have been using VIPER in their patient tumor analysis.  Linchpins for other tumor types have been found.  For instance, VIPER identified transcription factors IKZF1 and IKF3 as linchpins in multiple myeloma.  But currently approved therapeutics are hard to come by for targets with are transcription factors, as most pharma has concentrated on inhibiting an easier target like kinases and their associated activity.  In general, developing transcription factor inhibitors in more difficult an undertaking for multiple reasons.

Network-based inference of protein activity helps functionalize the genetic landscape of cancer. Alvarez MJ, Shen Y, Giorgi FM, Lachmann A, Ding BB, Ye BH, Califano A:. Nature genetics 2016, 48(8):838-847 [3]

Abstract

Identifying the multiple dysregulated oncoproteins that contribute to tumorigenesis in a given patient is crucial for developing personalized treatment plans. However, accurate inference of aberrant protein activity in biological samples is still challenging as genetic alterations are only partially predictive and direct measurements of protein activity are generally not feasible. To address this problem we introduce and experimentally validate a new algorithm, VIPER (Virtual Inference of Protein-activity by Enriched Regulon analysis), for the accurate assessment of protein activity from gene expression data. We use VIPER to evaluate the functional relevance of genetic alterations in regulatory proteins across all TCGA samples. In addition to accurately inferring aberrant protein activity induced by established mutations, we also identify a significant fraction of tumors with aberrant activity of druggable oncoproteins—despite a lack of mutations, and vice-versa. In vitro assays confirmed that VIPER-inferred protein activity outperforms mutational analysis in predicting sensitivity to targeted inhibitors.

 

 

 

 

Figure 1 

Schematic overview of the VIPER algorithm From: Alvarez MJ, Shen Y, Giorgi FM, Lachmann A, Ding BB, Ye BH, Califano A: Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nature genetics 2016, 48(8):838-847.

(a) Molecular layers profiled by different technologies. Transcriptomics measures steady-state mRNA levels; Proteomics quantifies protein levels, including some defined post-translational isoforms; VIPER infers protein activity based on the protein’s regulon, reflecting the abundance of the active protein isoform, including post-translational modifications, proper subcellular localization and interaction with co-factors. (b) Representation of VIPER workflow. A regulatory model is generated from ARACNe-inferred context-specific interactome and Mode of Regulation computed from the correlation between regulator and target genes. Single-sample gene expression signatures are computed from genome-wide expression data, and transformed into regulatory protein activity profiles by the aREA algorithm. (c) Three possible scenarios for the aREA analysis, including increased, decreased or no change in protein activity. The gene expression signature and its absolute value (|GES|) are indicated by color scale bars, induced and repressed target genes according to the regulatory model are indicated by blue and red vertical lines. (d) Pleiotropy Correction is performed by evaluating whether the enrichment of a given regulon (R4) is driven by genes co-regulated by a second regulator (R4∩R1). (e) Benchmark results for VIPER analysis based on multiple-samples gene expression signatures (msVIPER) and single-sample gene expression signatures (VIPER). Boxplots show the accuracy (relative rank for the silenced protein), and the specificity (fraction of proteins inferred as differentially active at p < 0.05) for the 6 benchmark experiments (see Table 2). Different colors indicate different implementations of the aREA algorithm, including 2-tail (2T) and 3-tail (3T), Interaction Confidence (IC) and Pleiotropy Correction (PC).

 Other articles from Andrea Califano on VIPER algorithm in cancer include:

Resistance to neoadjuvant chemotherapy in triple-negative breast cancer mediated by a reversible drug-tolerant state.

Echeverria GV, Ge Z, Seth S, Zhang X, Jeter-Jones S, Zhou X, Cai S, Tu Y, McCoy A, Peoples M, Sun Y, Qiu H, Chang Q, Bristow C, Carugo A, Shao J, Ma X, Harris A, Mundi P, Lau R, Ramamoorthy V, Wu Y, Alvarez MJ, Califano A, Moulder SL, Symmans WF, Marszalek JR, Heffernan TP, Chang JT, Piwnica-Worms H.Sci Transl Med. 2019 Apr 17;11(488):eaav0936. doi: 10.1126/scitranslmed.aav0936.PMID: 30996079

An Integrated Systems Biology Approach Identifies TRIM25 as a Key Determinant of Breast Cancer Metastasis.

Walsh LA, Alvarez MJ, Sabio EY, Reyngold M, Makarov V, Mukherjee S, Lee KW, Desrichard A, Turcan Ş, Dalin MG, Rajasekhar VK, Chen S, Vahdat LT, Califano A, Chan TA.Cell Rep. 2017 Aug 15;20(7):1623-1640. doi: 10.1016/j.celrep.2017.07.052.PMID: 28813674

Inhibition of the autocrine IL-6-JAK2-STAT3-calprotectin axis as targeted therapy for HR-/HER2+ breast cancers.

Rodriguez-Barrueco R, Yu J, Saucedo-Cuevas LP, Olivan M, Llobet-Navas D, Putcha P, Castro V, Murga-Penas EM, Collazo-Lorduy A, Castillo-Martin M, Alvarez M, Cordon-Cardo C, Kalinsky K, Maurer M, Califano A, Silva JM.Genes Dev. 2015 Aug 1;29(15):1631-48. doi: 10.1101/gad.262642.115. Epub 2015 Jul 30.PMID: 26227964

Master regulators used as breast cancer metastasis classifier.

Lim WK, Lyashenko E, Califano A.Pac Symp Biocomput. 2009:504-15.PMID: 19209726 Free

 

Additional References

 

  1. Khamsi R: Computing cancer’s weak spots. Science 2020, 368(6496):1174-1177.
  2. Chen H, Li C, Peng X, Zhou Z, Weinstein JN, Liang H: A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples. Cell 2018, 173(2):386-399 e312.
  3. Alvarez MJ, Shen Y, Giorgi FM, Lachmann A, Ding BB, Ye BH, Califano A: Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nature genetics 2016, 48(8):838-847.

 

Other articles of Note on this Open Access Online Journal Include:

Issues in Personalized Medicine in Cancer: Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

 

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Live Notes, Real Time Conference Coverage AACR 2020: Tuesday June 23, 2020 3:00 PM-5:30 PM Educational Sessions

Reporter: Stephen J. Williams, PhD

Follow Live in Real Time using

#AACR20

@pharma_BI

@AACR

Register for FREE at https://www.aacr.org/

uesday, June 23

3:00 PM – 5:00 PM EDT

Virtual Educational Session
Tumor Biology, Bioinformatics and Systems Biology

The Clinical Proteomic Tumor Analysis Consortium: Resources and Data Dissemination

This session will provide information regarding methodologic and computational aspects of proteogenomic analysis of tumor samples, particularly in the context of clinical trials. Availability of comprehensive proteomic and matching genomic data for tumor samples characterized by the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) program will be described, including data access procedures and informatic tools under development. Recent advances on mass spectrometry-based targeted assays for inclusion in clinical trials will also be discussed.

Amanda G Paulovich, Shankha Satpathy, Meenakshi Anurag, Bing Zhang, Steven A Carr

Methods and tools for comprehensive proteogenomic characterization of bulk tumor to needle core biopsies

Shankha Satpathy
  • TCGA has 11,000 cancers with >20,000 somatic alterations but only 128 proteins as proteomics was still young field
  • CPTAC is NCI proteomic effort
  • Chemical labeling approach now method of choice for quantitative proteomics
  • Looked at ovarian and breast cancers: to measure PTM like phosphorylated the sample preparation is critical

 

Data access and informatics tools for proteogenomics analysis

Bing Zhang
  • Raw and processed data (raw MS data) with linked clinical data can be extracted in CPTAC
  • Python scripts are available for bioinformatic programming

 

Pathways to clinical translation of mass spectrometry-based assays

Meenakshi Anurag

·         Using kinase inhibitor pulldown (KIP) assay to identify unique kinome profiles

·         Found single strand break repair defects in endometrial luminal cases, especially with immune checkpoint prognostic tumors

·         Paper: JNCI 2019 analyzed 20,000 genes correlated with ET resistant in luminal B cases (selected for a list of 30 genes)

·         Validated in METABRIC dataset

·         KIP assay uses magnetic beads to pull out kinases to determine druggable kinases

·         Looked in xenografts and was able to pull out differential kinomes

·         Matched with PDX data so good clinical correlation

·         Were able to detect ESR1 fusion correlated with ER+ tumors

Tuesday, June 23

3:00 PM – 5:00 PM EDT

Virtual Educational Session
Survivorship

Artificial Intelligence and Machine Learning from Research to the Cancer Clinic

The adoption of omic technologies in the cancer clinic is giving rise to an increasing number of large-scale high-dimensional datasets recording multiple aspects of the disease. This creates the need for frameworks for translatable discovery and learning from such data. Like artificial intelligence (AI) and machine learning (ML) for the cancer lab, methods for the clinic need to (i) compare and integrate different data types; (ii) scale with data sizes; (iii) prove interpretable in terms of the known biology and batch effects underlying the data; and (iv) predict previously unknown experimentally verifiable mechanisms. Methods for the clinic, beyond the lab, also need to (v) produce accurate actionable recommendations; (vi) prove relevant to patient populations based upon small cohorts; and (vii) be validated in clinical trials. In this educational session we will present recent studies that demonstrate AI and ML translated to the cancer clinic, from prognosis and diagnosis to therapy.
NOTE: Dr. Fish’s talk is not eligible for CME credit to permit the free flow of information of the commercial interest employee participating.

Ron C. Anafi, Rick L. Stevens, Orly Alter, Guy Fish

Overview of AI approaches in cancer research and patient care

Rick L. Stevens
  • Deep learning is less likely to saturate as data increases
  • Deep learning attempts to learn multiple layers of information
  • The ultimate goal is prediction but this will be the greatest challenge for ML
  • ML models can integrate data validation and cross database validation
  • What limits the performance of cross validation is the internal noise of data (reproducibility)
  • Learning curves: not the more data but more reproducible data is important
  • Neural networks can outperform classical methods
  • Important to measure validation accuracy in training set. Class weighting can assist in development of data set for training set especially for unbalanced data sets

Discovering genome-scale predictors of survival and response to treatment with multi-tensor decompositions

Orly Alter
  • Finding patterns using SVD component analysis. Gene and SVD patterns match 1:1
  • Comparative spectral decompositions can be used for global datasets
  • Validation of CNV data using this strategy
  • Found Ras, Shh and Notch pathways with altered CNV in glioblastoma which correlated with prognosis
  • These predictors was significantly better than independent prognostic indicator like age of diagnosis

 

Identifying targets for cancer chronotherapy with unsupervised machine learning

Ron C. Anafi
  • Many clinicians have noticed that some patients do better when chemo is given at certain times of the day and felt there may be a circadian rhythm or chronotherapeutic effect with respect to side effects or with outcomes
  • ML used to determine if there is indeed this chronotherapy effect or can we use unstructured data to determine molecular rhythms?
  • Found a circadian transcription in human lung
  • Most dataset in cancer from one clinical trial so there might need to be more trials conducted to take into consideration circadian rhythms

Stratifying patients by live-cell biomarkers with random-forest decision trees

Stratifying patients by live-cell biomarkers with random-forest decision trees

Guy Fish CEO Cellanyx Diagnostics

 

Tuesday, June 23

3:00 PM – 5:00 PM EDT

Virtual Educational Session
Tumor Biology, Molecular and Cellular Biology/Genetics, Bioinformatics and Systems Biology, Prevention Research

The Wound Healing that Never Heals: The Tumor Microenvironment (TME) in Cancer Progression

This educational session focuses on the chronic wound healing, fibrosis, and cancer “triad.” It emphasizes the similarities and differences seen in these conditions and attempts to clarify why sustained fibrosis commonly supports tumorigenesis. Importance will be placed on cancer-associated fibroblasts (CAFs), vascularity, extracellular matrix (ECM), and chronic conditions like aging. Dr. Dvorak will provide an historical insight into the triad field focusing on the importance of vascular permeability. Dr. Stewart will explain how chronic inflammatory conditions, such as the aging tumor microenvironment (TME), drive cancer progression. The session will close with a review by Dr. Cukierman of the roles that CAFs and self-produced ECMs play in enabling the signaling reciprocity observed between fibrosis and cancer in solid epithelial cancers, such as pancreatic ductal adenocarcinoma.

Harold F Dvorak, Sheila A Stewart, Edna Cukierman

 

The importance of vascular permeability in tumor stroma generation and wound healing

Harold F Dvorak

Aging in the driver’s seat: Tumor progression and beyond

Sheila A Stewart

Why won’t CAFs stay normal?

Edna Cukierman

 

Tuesday, June 23

3:00 PM – 5:00 PM EDT

 

 

 

 

 

 

 

Other Articles on this Open Access  Online Journal on Cancer Conferences and Conference Coverage in Real Time Include

Press Coverage
Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 28, 2020 Symposium: New Drugs on the Horizon Part 3 12:30-1:25 PM
Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 28, 2020 Session on NCI Activities: COVID-19 and Cancer Research 5:20 PM
Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 28, 2020 Session on Evaluating Cancer Genomics from Normal Tissues Through Metastatic Disease 3:50 PM
Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 28, 2020 Session on Novel Targets and Therapies 2:35 PM

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2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

Dialogue among principals is a World Forum’s signature. Expert moderators guiding discussion and questions in audience friendly exchanges. No slides – shared perspectives facilitated by Harvard faculty, leading journalists and Mass General Brigham executives.

Jeffrey Golden, MD

Chair, Department of Pathology, BH; Ramzi S. Cotran Professor of Pathology, Harvard Medical School

Hadine Joffe, MD

Vice Chair, Psychiatry, Executive Director, Mary Horrigan Connors Center for Women’s Health and Gender Biology, BH; Paula A. Johnson Professor, Women’s Health, Harvard Medical School

Thomas Sequist, MD

Chief Patient Experience and Equity Officer, Mass General Brigham; Professor of Medicine and Health Care Policy, Harvard Medical School

Erica Shenoy, MD, PhD

Associate Chief, Infection Control Unit, MGH; Assistant Professor, Harvard Medical School

Gregg Meyer, MD

Chief Clinical Officer, Mass General Brigham; Interim President, NWH; Professor, Harvard Medical School

Ravi Thadhani, MD

CAO, Mass General Brigham; Professor and Faculty Dean for Academic Programs, Harvard Medical School

Ann Prestipino

SVP; Incident Commander, MGH

Roger Kitterman

VP, Venture and Managing Partner, Partners Innovation Fund, Mass General Brigham

David Louis, MD

Pathologist-in-Chief, MGH; Benjamin Castleman Professor of Pathology, Harvard Medical School

Janet Wu

Bloomberg

Ron Walls, MD

EVP and Chief Operating Officer, BH; Neskey Family Professor of Emergency Medicine, Harvard Medical School

Alice Park

Senior Writer, TIME

 

Jeffrey Golden, MD

Chair, Department of Pathology, BH; Ramzi S. Cotran Professor of Pathology, Harvard Medical School

Hadine Joffe, MD

Vice Chair, Psychiatry, Executive Director, Mary Horrigan Connors Center for Women’s Health and Gender Biology, BH; Paula A. Johnson Professor, Women’s Health, Harvard Medical School

Thomas Sequist, MD

Chief Patient Experience and Equity Officer, Mass General Brigham; Professor of Medicine and Health Care Policy, Harvard Medical School

Erica Shenoy, MD, PhD

Associate Chief, Infection Control Unit, MGH; Assistant Professor, Harvard Medical School

Gregg Meyer, MD

Chief Clinical Officer, Mass General Brigham; Interim President, NWH; Professor, Harvard Medical School

Ravi Thadhani, MD

CAO, Mass General Brigham; Professor and Faculty Dean for Academic Programs, Harvard Medical School

Ann Prestipino

SVP; Incident Commander, MGH

Roger Kitterman

VP, Venture and Managing Partner, Partners Innovation Fund, Mass General Brigham

David Louis, MD

Pathologist-in-Chief, MGH; Benjamin Castleman Professor of Pathology, Harvard Medical School

Janet Wu

Bloomberg

Ron Walls, MD

EVP and Chief Operating Officer, BH; Neskey Family Professor of Emergency Medicine, Harvard Medical School

Alice Park

Senior Writer, TIME

 

VIEW VIDEOS from the event

https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

 

From: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Date: Tuesday, May 12, 2020 at 6:48 AM

To: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Subject: REGISTRANT RECAP | World Medical Innovation Forum  

 

Dear World Forum Attendee, 

On behalf of Mass General Brigham CEO Anne Klibanski MD and Forum co-Chairs Gregg Meyer MD and Ravi Thadhani MD, many thanks for being among the nearly 11,000 registrants representing 93 countries, 46 states and 3200 organizations yesterday. A community was established around many pressing topics that  will continue long into the future. We hope you have a chance to examine the attached survey results. There are several revealing items that should be the basis for ongoing discussion. We expect to be in touch regularly during the year. Among the plans is a “First Look” video series highlighting top Mass General Brigham Harvard faculty as well as emerging Harvard investigators.  As promised, we  wanted to also share visual Forum session summaries.  You will be able to access the recordings on the Forum’s YouTube page . The first set will go up this morning

We hope you will join us for the 2021 Forum!  

Thanks again, Chris

e-Proceedings 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/04/22/world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-monday-may-11-815-a-m-515-p-m-et/

Tweets & Retweets 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/05/11/tweets-retweets-2020-world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-mond/

Read Full Post »


Collaborative innovation has never been more important.

2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

Join top leaders guiding the response, technology and people confronting this century’s greatest health challenge.

Priya Abani

CEO, AliveCor

General Keith Alexander

Co-CEO, IronNet; Former NSA Head

Stéphane Bancel

CEO, Moderna

Marc Casper

CEO, Thermo Fisher

Timothy Ferris, MD

CEO, MGPO; Professor, HMS

John Fernandez  

President, MEE; President, Ambulatory Care, Mass General Brigham

 

John Fish

CEO, Suffolk; BH Board Chair

JF Formela, MD

Partner, Atlas Venture

Jan Garfinkle

Manager Partner, Arboretum Ventures; Chair, NVCA

Phillip Gross

Managing Director, Adage Capital Management

Julia Hu

CEO, Lark Health

Anjali Kataria

CEO, Mytonomy

Roger Kitterman

VP, Managing Partner, Mass General Brigahm Fund

Jonathan Kraft

President, Kraft Group; Chair, MGH Board

Brooke LeVasseur

CEO, AristaMD

Mike Mahoney

CEO, Boston Scientific

Bernd Montag, PhD

CEO, Siemens Healthineers

Kieran Murphy

CEO, GE Healthcare

Elizabeth Nabel, MD

President, BH; Professor, HMS

Matt Sause

CEO, Roche Diagnostics

Peter Slavin, MD

President, MGH; Professor, HMS

Scott Sperling

Co-President, TH Lee; Chair, Mass General Brigham Board

Christopher Viehbacher

Managing Partner, Gurnet Point Capital

Michel Vounatsos

CEO, Biogen

Collaborative Innovation

Together we meet the challenge of the coronavirus and share our commitment to the future of medicine.

 

Anne Klibanski, MD

CEO, Mass General Brigham

Amy Abernethy, MD, PhD

Principal Deputy Commissioner and Acting CIO, FDA

PANEL

FDA Role in Managing Crisis and Anticipating the Next

Elizabeth Nabel, MD

President, Brigham Health; Professor of Medicine, HMS

PANEL

Care in the Next 18 Months 

Karen DeSalvo, MD

Chief Health Officer, Google Health

PANEL

Role of AI and Big Data in Fighting COVID-19 

Dawn Sugarman, PhD

Assistant Psychologist, Division of Alcohol, Drugs, and Addiction, McLean; Assistant Professor, Psychiatry, HMS

PANEL

Digital Therapeutics

Ann Prestipino

SVP; Incident Commander, MGH; Teaching Associate, HMS

PANEL

Real Time: Front Line Innovation

Hadine Joffe, MD

Vice Chair, Research, Psychiatry; Executive Director, Mary Horrigan Connors Center for Women’s Health and Gender Biology, BH; Paula Johnson Professor, Women’s Health, HMS

PANEL

Digital Therapeutics

Priya Abani

CEO, AliveCor

PANEL

Digital Therapeutics

Julia Hu

CEO, Lark Health

PANEL

Digital Therapeutics

Jan Garfinkle

Manager Partner, Arboretum Ventures; Chair NVCA

PANEL

Early Stage Investment Environment

Anjali Kataria

CEO, Mytonomy

PANEL

Patient Experience During the Pandemic

Brooke LeVasseur

CEO, AristaMD

PANEL

Digital Health Becomes a Pillar

Julie Lankiewicz

Head, Clinical Affairs & Health Economics Outcomes Research, Bose Health

PANEL

Emergency and Urgent Care

 

VIEW VIDEOS from the event

https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

 

From: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Date: Tuesday, May 12, 2020 at 6:48 AM

To: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Subject: REGISTRANT RECAP | World Medical Innovation Forum  

 

Dear World Forum Attendee, 

On behalf of Mass General Brigham CEO Anne Klibanski MD and Forum co-Chairs Gregg Meyer MD and Ravi Thadhani MD, many thanks for being among the nearly 11,000 registrants representing 93 countries, 46 states and 3200 organizations yesterday. A community was established around many pressing topics that  will continue long into the future. We hope you have a chance to examine the attached survey results. There are several revealing items that should be the basis for ongoing discussion. We expect to be in touch regularly during the year. Among the plans is a “First Look” video series highlighting top Mass General Brigham Harvard faculty as well as emerging Harvard investigators.  As promised, we  wanted to also share visual Forum session summaries.  You will be able to access the recordings on the Forum’s YouTube page . The first set will go up this morning

We hope you will join us for the 2021 Forum!  

Thanks again, Chris

e-Proceedings 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/04/22/world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-monday-may-11-815-a-m-515-p-m-et/

Tweets & Retweets 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/05/11/tweets-retweets-2020-world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-mond/

Read Full Post »


2020 World Medical Innovation Forum – COVID-19, AI  – Life Science and Digital Health Investments, MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

 

 

 

Life science and digital health investments have continued at a strong pace during the COVID-19 crisis. Senior investment leaders discuss what to expect. Will:

  • social distancing affect deal making?
  • key asset categories remain strong – venture, private equity, public offerings, acquisitions?
  • valuations hold up in some categories while others fall?

Moderator: Roger Kitterman, VP, Venture and Managing Partner, Partners Innovation Fund, Mass General Brigham


Jan Garfinkle
, Founder & Manager Partner, Arboretum Ventures, Chair NVCA

Phillip Gross, Managing Director, Adage Capital Management

Christopher Viehbacher, Managing Partner, Gurnet Point Capital

 

VIEW VIDEOS from the event

https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

From: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Date: Tuesday, May 12, 2020 at 6:48 AM

To: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Subject: REGISTRANT RECAP | World Medical Innovation Forum  

 

Dear World Forum Attendee, 

On behalf of Mass General Brigham CEO Anne Klibanski MD and Forum co-Chairs Gregg Meyer MD and Ravi Thadhani MD, many thanks for being among the nearly 11,000 registrants representing 93 countries, 46 states and 3200 organizations yesterday. A community was established around many pressing topics that  will continue long into the future. We hope you have a chance to examine the attached survey results. There are several revealing items that should be the basis for ongoing discussion. We expect to be in touch regularly during the year. Among the plans is a “First Look” video series highlighting top Mass General Brigham Harvard faculty as well as emerging Harvard investigators.  As promised, we  wanted to also share visual Forum session summaries.  You will be able to access the recordings on the Forum’s YouTube page . The first set will go up this morning

We hope you will join us for the 2021 Forum!  

Thanks again, Chris

e-Proceedings 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/04/22/world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-monday-may-11-815-a-m-515-p-m-et/

Tweets & Retweets 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

https://pharmaceuticalintelligence.com/2020/05/11/tweets-retweets-2020-world-medical-innovation-forum-covid-19-ai-and-the-future-of-medicine-featuring-harvard-and-industry-leader-insights-mgh-bwh-virtual-event-mond/

Read Full Post »


e-Proceedings 2020 World Medical Innovation Forum – COVID-19, AI and the Future of Medicine, Featuring Harvard and Industry Leader Insights – MGH & BWH, Virtual Event: Monday, May 11, 8:15 a.m. – 5:15 p.m. ET

 

Featuring Clinical, Scientific, Tech, AI and Venture Experts

https://worldmedicalinnovation.org/

7:50NOW PLAYING

2020 WMIF | Welcome

34 views1 hour ago

5:31NOW PLAYING

2020 WMIF | Disruptive Dozen #1

122 views1 day ago

3:27NOW PLAYING

3:56NOW PLAYING

2020 WMIF | Disruptive Dozen #4

57 views2 days ago

SOURCE

https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

 

THIS IS THE EVENT I COVERED on 5/11/2020  BY INVITATION AS MEDIA for Mass General Brigham

 

From: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Date: Tuesday, May 12, 2020 at 6:48 AM

To: “Coburn, Christopher Mark” <CMCOBURN@PARTNERS.ORG>

Subject: REGISTRANT RECAP | World Medical Innovation Forum  

 

Dear World Forum Attendee, 

On behalf of Mass General Brigham CEO Anne Klibanski MD and Forum co-Chairs Gregg Meyer MD and Ravi Thadhani MD, many thanks for being among the nearly 11,000 registrants representing 93 countries, 46 states and 3200 organizations yesterday. A community was established around many pressing topics that  will continue long into the future. We hope you have a chance to examine the attached survey results. There are several revealing items that should be the basis for ongoing discussion. We expect to be in touch regularly during the year. Among the plans is a “First Look” video series highlighting top Mass General Brigham Harvard faculty as well as emerging Harvard investigators.  As promised, we  wanted to also share visual Forum session summaries.  You will be able to access the recordings on the Forum’s YouTube page . The first set will go up this morning

We hope you will join us for the 2021 Forum!  

Thanks again, Chris

 

Mass General Brigham (formerly Partners Healthcare) is pleased to invite media to attend the World Medical Innovation Forum (WMIF) virtual event on Monday, May 11. Our day-long interactive web event features expert discussions of COVID-related infectious disease innovation and the pandemic’s impact on transforming medicine, plus insights on how care may be radically transformed post-COVID. The agenda features nearly 70 executive speakers from the healthcare industry, venture, start-ups, consumer health and the front lines of COVID care, including many of our Harvard Medical School-affiliated researchers and clinicians. The event replaces our annual in-person conference, which we plan to resume in 2021.

 

Aviva Lev-Ari, PhD, RN, Editor-in Chief, Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston will cover the event in Real Time as MEDIA for our Coronavirus Portal

CORONAVIRUS, SARS-CoV-2 PORTAL @LPBI

http://lnkd.in/ePwTDxm

Launched on 3/14/2020

8:15 – 8:25 AM
Opening Remarks

Dr. Klibanski will welcome participants to the 2020 World Medical Innovation Forum, a global — and this year, virtual — gathering of more than 5,000 senior health care leaders. This annual event was established to respond to the intensifying transformation of health care and its impact on innovation. The Forum is rooted in the belief that no matter the magnitude of that change, the center of health care needs to be a shared, fundamental commitment to collaborative innovation – industry and academia working together to improve patient lives. No collaborative endeavor is more pressing than responding to the COVID-19 pandemic.

Introduction:
Scott Sperling, Co-President, Thomas H. Lee Partners; Chairman of the Board of Directors, Mass General Brigham

  • Introducing Anne Klibanski – Leadership at its best for breakthroughs in the entire system when return to normalcy

Anne Klibanski, MD, President & CEO, Mass General Brigham

  • Collaborative innovation between Industry and Hospitals and Government
  • Expediting innovations: Prophylactic, Diagnostics, research and care delivery
  • COVID caregivers contribution to this battle, patient experience and outcome

Add Panel to Calendar

8:25 – 8:50 AM
Care in the Next 18 Months – Routine, Elective, Remote

Hospital chief executives reflect on how health care will evolve over the next 18 months in the face of COVID-19. What will routine health care look like? What about elective surgeries and other interventions? And will care-at-a-distance continue to be an essential component? Simply put, how will we provide manage, and pay for health care in a world forever changed by COVID-19?

Moderator:
Gregg Meyer, MD, Chief Clinical Officer, Mass General Brigham; Interim President, NWH; Professor of Medicine, HMS

John Fernandez,  President, Mass Eye and Ear and Mass General Brigham Ambulatory Care

  • Out patients decrease in volume now social distancing enabled by using parking lot as waiting rooms
  • Pre visit and post visit websites will become places of touch – patients accessing via website

Elizabeth Nabel, MD, President, Brigham Health; Professor of Medicine, HMS

  • Support to frontline care
  • Old normal will not be the new normal
  • Telehealth and digital health, work force, healthcare experience, improve access
  • lower medical expense
  • Patients were afraid
  • deferred cancer operation and treatment
  • Cath Lab less 50% occupied
  • Hospitals are safe and patients must come back for procedures
  • COVID-19 only 20% of all patients
  • ICU and OR Scheduling rethink procedure digital care delivers procedures
  • deploy workforce work across repurposed units hybrids, talent acquisition new strategy
  • COVID-19 will have distinct areas
  • BWH – Patient-Nurse-Doctor relations in healing Healthcare team became the Family of the Patients

Peter Slavin, MD, President, MGH; Professor, Health Care Policy, HMS

  • Reemerging more complicated
  • In patients and Out patient realigned with care for COVID-19
  • Telemedicine 85% of outpatients visits at MGH
  • virtual care will dominate the future of care
  • disadvantaged populations suffered more in the pandemic Communities in Chelsea and Revere household received kits social determinants of illness

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8:50 – 9:15 AM
COVID-19: Technology Solutions Now and in the Future

Experts leading large teams at the epicenter of the coronavirus outbreak discuss how technology is shaping the pandemic response today and in the coming years. What technology categories are most important? What tools are healthcare organizations, biopharmaceutical companies, and other organizations leveraging to battle this crisis? How will those tools evolve? And, importantly, how can technology inform the medical response to future pandemics? What were the biggest technology surprises in the current response?

Moderator:
Alice Park, Senior Writer, Time

Stephane Bancel, CEO, Moderna

  • mRNA synthetic RNA of Spike protein injected to stir immune response
  • Phase II working with FDA starting Phase III early Summer
  • 15 mcg dose available in 2020
  • using own capital to invest to scale up manufacturing no help from Gov’t Grant for clinical trial not for manufacturing

Paul Biddinger, MD, Medical Director for Emergency Preparedness, MGH; Associate Professor of Emergency Medicine, HMS

  • Sharing information across the system aggregate data technologies
  • ML as Guidance in resource coordination

David Kaufman, MD, PhD, Head of Translational Development, Bill & Melinda Gates Medical Research Institute

  • drug development, clinical operations remote monitoring
  • repurpose compounds usinf libraries
  • scalability and Global vaccine cheap and available globally
  • complexity is in coordinations – toolset  biology tool RNA mapping viral screening primaru cells and organoids
  • Outcomes: Aging and co-morbidities
  • Discovery effort using tools infrastructure maintained between pandemics

Rochelle Walensky, MDChief, Infectious Disease, Steve and Deborah Gorlin MGH Research Scholar, MGH; Professor of Medicine, HMS

  • shared photos important for Public health, using iPhone distribution Demedicalize Testic – not only at clinics but at many placed contact tracing and diagnosis in 24 hours – iPhone is invaluable GPS capability – privacy issues
  • detect patients with high risk and existing infection monitoring
  • Public Health – Thermometer given to Patients – data collected centrally any spike and pulse oximeter given to home – remote
  • Anxiety in opening the economy requires a bit of giving up on privacy
  • TeleHealth and monitoring remotely
  • Pharmacy and workplace as points to start Testing vs Order and a nurse call

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9:15 – 9:40 AM
Digital Health Becomes a Pillar: Tools, Payment, Data

Deployed in the crucible of the coronavirus pandemic, digital health has now become an essential pillar in the delivery of care. Why is that significant? How and why did it happen? What are the essential tools and components? How is the electronic health record and other health data contributing to this digital movement?

Are there novel use cases for telehealth that arose during the first phase of the COVID-19 pandemic? How can digital technologies help enable a full return to work. Thinking ahead to the fall and a possible second wave, are there things we should be doing today to ensure this technology to better detect and profile a resurgence and enhance the patient benefit.

Moderator:
David Louis, MD, Pathologist-in-Chief, MGH; Benjamin Castleman Professor of Pathology, HMS

  • DIgitsl technologies – boostong and innovating
  • upscale activity
  • risk of upscaling on Providers
  • Adaptations of innovation

Alistair Erskine, MD, Chief Digital Health Officer, Mass General Brigham

Adam Landman, MD, VP, Chief Information and Digital Innovation Officer, BH; Associate Professor of Emergency Medicine, HMS

  • COVID-19 call center across Partners, Chat bots automated screening tools, Microsoft assisted 60,000 users of chat bots triaging by screening calls of the Hotline
  • TeleHealth transformation may be lost due to reimbursement which may not be reimburse after the emergency is over Insurers to incentivize use of of TeleHealth
  • In person care: Redesign and how to provide In care for the staff and for the Patients

Brooke LeVasseur, CEO, AristaMD

  • Access problem due to care shortage of specialty care
  • technology better allocate resources
  • Industry and Hospital Institutions populations they serve
  • innovations needs a sustainable economic model for reimbursement
  • Inequity issues How Telehealth can benefit all of Society, potential for future solutions

Lee Schwamm, MD, Director, Center for TeleHealth and Exec Vice Chair, Neurology, MGH; Vice President, Virtual Care/Digital Health, Mass General Brigham; Professor, Neurology, HMS

  • Surge capabilities
  • generate insight
  • Research and Innovation needs embedding in the enterprise
  • technical gap in maintenance
  • supply chain disrupted

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9:40 – 9:45 AM
BREAK
9:45 – 10:05 AM
FIRESIDE CHAT
Bayer Pharma Reflections on Innovation: Creating, Collaborating, and Accelerating Discovery During and After a Pandemic

Dr. Moeller will reflect on how Bayer is weathering the organizational challenges posed by the COVID-19 pandemic. How does a global pharmaceutical company continue to drive drug development when its labs are shut down? What are the critical elements needed to keep the engines of innovation firing even in the face of a global public health crisis? How does a global r&d enterprise plan for an uncertain fall 2020 given a potential return of the virus.

Introduction:
John Fish, CEO, Suffolk; Chairman of Board Trustees, Brigham Health

  • COPD

Moderator:
Janet Wu, Bloomberg

Joerg Moeller, MD, PhD, Head of Research & Development, Pharmaceuticals Division, Bayer AG

  • led team of 9 products
  • Unprecedented is COVID-19: effect on work, travel, life
  • Anti-Malaria vs COVID-19: In China testing early chloroquine approved for RA and anti Malaria Government in China experimental and Bayer supports Clinical Trials by Bill & Melinda Foundation
  • In 8 weeks most Scientist work from home – amazed what was accomplished by 80% of Bayer working from home
  • production is kept ongoing anti-infective for Pneumonia
  • focus on most critical and keep experiment critical and push out studies run Globally – No pre-maturely study was interrupted completely
  • Great collaboration Flexibility with regulatory agencies in Europe and with FDA – levels not seen before
  • R&D in Pharma – when out different point than when we started: Opportunities- Compound libraries OPEN after the COVID Pandemic, speed of decision making, team spirit outstanding – levels not seen before
  • Partnerships: Bayer testing machines and ventilators shared, accelerate mechanisms for new drug development
  • evidence for repurposing drugs: Chloroquine
  • Solidarity – everyone are in it TOGETHER, keep that after the Pandemic is over – levels not seen before

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10:05 – 10:30 AM
The Patient Experience During the Pandemic

The coronavirus outbreak is not only testing health care staff and resources, it is also having an overwhelming impact on patients. This panel will focus on the approach and technologies providers are using to address the patient experience along the continuum of care.

Moderator:
Thomas Sequist, MD, Chief Patient Experience and Equity Officer, Mass General Brigham; Professor of Medicine and Health Care Policy, HMS

Anjali Kataria, CEO, Mytonomy

  • Video overcome illiteracy and provide personal engagement without the negative
  • Home health will be the shift – a human component will not go away – sensor technology in car, bathroom
  • COVID-19 accelerated user adoption of Telehealth
  • Digital technologies as an equailizer Hispanic patients consumed for information with the new technologies

Daniel Kuritzkes, MD, Chief, Division of Infectious Diseases, BH; Harriet Ryan Albee Professor of Medicine, HMS

  • conserve PPE impacted Physicians ability to see Patients, Nurses meet patients vs Physicians that delivered care remotely – laying on hands was missing in the care
  • Masks will not come off but in a while, can’t allow the infection to surge and curtail hospitals from functioning, use mask for the foreseable future

 

Peter Lee, PhD, Corporate Vice President, Microsoft Research and Incubation

  • Interactive Chat bots 1 out of 500 hospitals around the Globe adopted the Chat Bot for Patient Intake
  • Scaling telemetry with feedback loop
  • iPad at bedside, platform orchestration, new workflows for COVID-19 patients in the backend guiding Patients in the Process was new infrastructure was in the front line
  • preparing for a game change in Medicine: Patients demanding new experience
  • Historical context for physicians contribution to care and bridge the digital divide

Jag Singh, MD, PhD, Cardiologist & Founding Director, Resynchronization and Advanced Cardiac Therapeutics Program, MGH; Professor of Medicine, HMS

  • Isolation is unbearable
  • Predictive analytics
  • no going back to before Pandemic
  • COVID-19 only severe go to hospital
  • Human contact enhanced interaction with families and Docs

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10:30 – 10:55 AM
The Role of AI and Big Data in Fighting COVID-19 and the Next Global Crisis – Successes and Aspirations

AI is a key weapon used to fight COVID-19. What are the biggest successes so far? Which applications show the most promise for the future? Can it help a return to work? Can AI help predict and even prevent the next global health care crisis?

Moderator:
Alice Park, Senior Writer, Time

Mike Devoy, MD, EVP, Medical Affairs & Pharmacovigilance and CMO, Bayer AG

  • AI allows speeding up Genome of Spike Proteins sequencing
  • Partnership with Academia help focus effort
  • openness and willingness to collaborate and take risk in Therapeutics

Karen DeSalvo, MD,  Chief Health Officer, Google Health

  • Partnership with Apple on Contact Tracing System – BLE – only for Health applications
  • Public Health as driver as consumer Privacy preserving
  • Individual level data collection for AI applications, privacy giving up for public good
  • Trust component – in sharing data

Keith Dreyer, DO, PhD, Chief Data Science Officer, Mass General Brigham; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS

  • COVID allowed data on contact tracing
  • AI in image capturing for Public health – target Imaging use data to be equivalent to Human Testing at Home va in ER 1 in 10, 000 vs all populations
  • Data to AI application SW providers are stewards Open source , no conflict of interest and no discussion on profits
  • Each country will have own lessens

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10:55 – 11:20 AM
Designing for Infection Prevention: Innovation and Investment in Personal Protective Equipment and Facility Design

As with many pathogens, prevention is the best defense against SARS-CoV2, the virus that causes COVID-19. Panelists will discuss the insights, design strategies, technologies, and practices that are emerging to guard against infection and how those innovations are being applied to protect health care providers and their patients.
Based on what was learned during the spring of 2020, are there specific changes that will lessen morbidity and mortality in a potential a second wave?

Moderator:
Erica Shenoy, MD, PhD, Associate Chief, Infection Control Unit, MGH; Assistant Professor, HMS

Shelly AndersonSVP, Strategic Initiatives and Partnerships, & Chief Strategy Officer, BH

  • How to establish the New normal
  • Surveillence for new sources of infection
  • Operations under uncertainty
  • learned to be effective with data monitoring, training, facility adaptation to new roles
  • Investments in new materials to stabilize the supply chain: Additional suppliers,
  • Extend internal supply work with R&D on alternative materials

Michele Holcomb, PhD, EVP, Strategy and Corporate Development, Cardinal Health

  • Optimize toward lower cost vs availability of supply
  • Diverting supply chain to manufacturing not in PPE business

 

Guillermo Tearney, MD, PhD, Remondi Family Endowed MGH Research Institute Chair, Mike and Sue Hazard MGH Research Scholar, MGH; Professor, Pathology, HMS

  • 3D Printing innovations for filtration capacity of particles, respirators decontaminated, prevention of patient transmission
  • Negative pressure applied on materials as second line of protection beyond PPE
  • CPAP to be used
  • weaning from Ventilators to CPAP
  • Environment to be protected from air born pathogens

Teresa Wilson, Director/Architect, Colliers Project Leaders

  • Physical Design of the facility and rooms – use design to minimize Hospital infections principals of location of clean vs dirty functions
  • room kept cleaned, how long it takes to clean, where is the sink, hands free, modular construction plug & play design of rooms functions

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11:20 – 11:25 AM
BREAK
11:25 – 11:45 AM
FIRESIDE CHAT
Preparing for Fall 2020 and Beyond: Production, Innovation, Optimization

How does a global medical technology and life sciences company respond to the health challenges posed by COVID-19? Mr. Murphy will reflect on how his organization is working to meet the unprecedented demand for life-saving medical equipment for diagnosing, treating, and managing coronavirus patients. How does a large manufacturer make adjustments to FDA regulated products and supply chains in time to help lessen the impact of a second wave of COVID-19 infections.

Introduction:
Jonathan Kraft, President, The Kraft Group; Chair, Mass General Hospital Board of Trustees

  • 90 countries around the Globe – collaborative innovations partnership with GE Health – all assets around the World
  • Academic with GE Health AI, Diagnostics, data set for ML for Health care

Moderator:
Timothy Ferris, MD, CEO, MGPO; Professor, HMS

Kieran Murphy, CEO, GE Healthcare

  • Partnership GE Health & MGH
  • COVID-19 Innovations and Customers needs: Ventilators and
  • ICU Cloud application with Microsoft to save PPE and Labor, monitor several ICU rooms at once by technology
  • Quadruple the production and enter new contracts, crisis exposed weaknesses in supply chain of many products
  • Shortage of PPE was not expected, flexibility and trusted relations with GE Health Suppliers
  • CT in a BOX – 42 Slices in a container – no exposure to radiation in prefabricated rooms in field hospital requiring no contact with clinicians and rapid response
  • Command control center with John Hopkins University
  • Manufacturing facilities in China communicate the situation of the business and the customers needs buyers in the Health care industry
  • Future for Biotech industry: Modular systems deploy rapidly, test vaccine, SPEED is everything productivity & Speed
  • Productivity will increase collaboration and speed like partnership with FORD and MIcrosoft

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11:45 AM – 12:10 PM
Big Tech and Digital Health

Tech giants are dedicating their vast resources to aid in the global response to the coronavirus. This panel will highlight how the big data and computational power of major tech companies is being deployed to help contain the current pandemic through new technologies and services, enable return to work, and how it could help prevent future ones.

Moderator:
Natasha Singer, Reporter, New York Times

Amanda Goltz, Principal, Business Development, Alexa Health & Wellness, Amazon

Michael Mina, MD, PhD, Associate Medical Director, Molecular Virology, BH; Assistant Professor, Epidemiology, Immunology and Infectious Diseases, Harvard Chan School

  • Limitations on Viral Testing
  • Shortage of Swabs for testing
  • Tech giant: Amazon, Walmart – global reach in supply chain
  • new collaborations formed on super charge
  • Antigen test for home administration consumerization of the Testing
  • Walmart can be positioned for blood tests
  • Not only Physicians can order tests
  • Microsoft and Amazon can help in interpretation of the Test using Alexa

Marcus Osborne, VP, Walmart Health, Walmart

Jim Weinstein, MD, SVP, Microsoft

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12:10 – 12:35 PM
LUNCH BREAK
12:35 – 12:55PM
FIRESIDE CHAT
Insights on Pandemics and Health Care from the National Security Community

General Alexander, a renowned expert on national security as well as pandemics and health care, will reflect on how AI can help identify and predict future global disease outbreaks and enable fully reopening commerce. He will also discuss what health care systems can learn from the response to COVID-19 to ensure preparedness for the next infectious disease challenge.

Moderator:
Gregg Meyer, MD, Chief Clinical Officer, Mass General Brigham; Interim President, NWH; Professor of Medicine, HMS

General (Ret) Keith Alexander, Co-CEO, IronNet Cybersecurity

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12:55 – 1:20 PM
Calibrating Innovation Opportunity and Urgency: Medical and Social

The social and medical needs of patients are deeply intertwined, yet there are significant gaps in the tools and technologies being developed to help address those needs. These are especially apparent in the non-uniform impact of COVID-19. Harnessing opportunities, particularly for patients whose needs fall into the low medical complexity/high social complexity category — a group often overlooked by health care innovators.

Moderator:
Natasha Singer, Reporter, New York Times

Giles Boland, MD, Chair, Department of Radiology, BH; Philip H. Cook Professor of Radiology, HMS

  • Boston Hope: 1400 patients were treated at Boston Convention Center, 700 COVID -19 patients and 700 post acute after release from ICUs
  • Policy makers to address social determinants of Health

Amit Phadnis, Chief Digital Officer and GE Company Officer, GE Healthcare

  • Crisis will go away the innovations will stay and develop
  • Population Health to benefit from iPhone in Africa and in India mapping hotspots in populations
  • Multi channels TV, Phones and other devices – social disparities – no app to address social inequality

Krishna Yeshwant, MD, General Partner, GV; Instructor in Medicine, BH

  • communities most affected by social determinants of Health like in Chelsea in MA, a hotspot for COVID-19
  • Google Ventures – social issues are most complex invest in underprivileged

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1:20 – 1:45 PM
FDA Role in Managing Crisis and Anticipating the Next

The FDA and other regulatory bodies have played a key role in managing the coronavirus pandemic. How will the agency’s priorities shift in the coming months as community transmission (ideally) slows? What is the FDA’s role in return to work? What is the FDA doing to anticipate future health crises? How will these drive new tools and effect that rate of innovation?

Moderator:
Ravi Thadhani, MD, CAO, Mass General Brigham; Professor of Medicine and Faculty Dean for Academic Programs, HMS

Amy Abernethy, MD, PhD, Principal Deputy Commissioner & Acting CIO, FDA

  • Future – common tools, more efficient studies study protocols and study design evaluation
  • Learned what need to be put in place to move fast learn what is not in place
  • post pandemic regulatories lessons for being ready for the next one

Lindsey Baden, MD, Director, Clinical Research, Division of Infectious Diseases, BH; Associate Professor, HMS

  • Identify diagnostics for clinical definition of a virus unknown
  • treatment to be developed
  • Sick patients in need for treatment, researchers and clinicians need the best available FDA and the hospitals are flexible in responding
  • Spread globally like a respiratory virus
  • IRB – fast than ever before FDA and Pharma, DSMB – speed

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1:45– 2:05 PM
FIRESIDE CHAT
Keeping Priority on the Biggest Diseases

Biogen CEO Michel Vounatsos will discuss how Biogen is tackling some of society’s most devastating neurological and neurodegenerative disorders, and share his perspective on the impact the global COVID-19 pandemic is having on the biopharmaceutical industry.

Moderator:
Jean-François Formela, MD, Partner, Atlas Venture

  • Testing programs – lack of government cooordination

Michel Vounatsos, CEO, Biogen

  • Venture community supportive
  • to be on the safe side
  • employees tested every evenings to prevent rebound of the pandemic
  • Pandemic is acceleration progress that was only dreamt about
  • Opportunities in technologies new drugs,
  • Biogen will lead the new model
  • ALS – rare genetic expression Phase I encouraging
  • Neuro-immunology – MS phase III Parkinson drug
  • Lessons from COVID-19: Delay in clinical trials because Patients are fearing Hospital admission – Stroke patient did not go to Hospital
  • Biogen is joining the fight against COVID
  • Neuroimmunology is the strength – remain focus

 

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2:05 – 2:30 PM
Building the Plane While Flying: The Experience of Real-Time Innovation from the Front Line

The COVID-19 crisis has required continuous, real time innovation, impacting the way care is delivered on the front lines and across care continuum. This panel will present the perspective, innovations and experiences of care givers interacting directly with patients across the continuum of care – acute, post-acute, rehab and home care.

Moderator:
Ann Prestipino, SVP; Incident Commander, MGH; Teaching Associate, HMS

  • coming out of crisis
  • the New normal will be diferent

Theresa Gallivan, RN, Associate Chief Nurse, MGH

  • Ambulatory procedures
  • 700 nurses were deployed
  • 164 ICU beds increase of 90%
  • Health care demand will change in the future
  • focussed problem alarms from ventilators were not coordinated till biomed engineers arrives to device a solution

 

Karen Reilly, DNP, RN, Associate Chief Nursing Officer, Critical Care, Cardiovascular and Surgical Services, BH

  • Collaborate and move forward
  • Interdisciplinary team: Physical therapy help quickly
  • tech to communicate with families
  • Ready – I wish I had information to stay ahead of the curve
  • New normal ability to expand and contract

Ross Zafonte, DO, SVP, Research Education and Medical Affairs, SRN; Earle P. and Ida S. Charlton Professor of Physical Medicine and Rehabilitation, HMS

  • Rehabilitation in Cambridge Spaulding Brighton
  • Off loading to rehab from other units
  • Flexibility MGH Brigham – learn to be a new organization
  • Hotspots optimal mapping
  • Right person at right challenge
  • Stay ready for catastrophies
  • Telecare and Tele rehabilitation – greater benefit on TeleHealth or not who will not benefit from Rehab

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2:30 – 2:55 PM
CEO Roundtable: Will the Innovation Model Remain as It Was

As we envision a post-COVID-19 world, how will the model for biomedical innovation change? What lessons have been learned? Was this pandemic a once-in-a-lifetime event or should organizations begin to weave pandemic planning into their business and operations strategies? Panelists will discuss these and other related questions.

Moderator:
Janet Wu, Bloomberg

Mike Mahoney, CEO, Boston Scientific

  • China 6% of Sales
  • Employees – 148 Counties
  • support hospitals – 57% of volume
  • Resilience for liquidity Variable cost needed be removes partially
  • How will the company come out stronger
  • Innovations by business model innovations – Remote physicians in Japan by European experts in OR
  • Next week 10% of Product management and Quality are priority to come back
  • working remotely works very well except for R&S who needs Labs

Bernd Montag, PhD, CEO, Siemens Healthineers

  • Keep present business and the emerging needs for technologies
  • Serology Test
  • Antibody Test genomic testing
  • Company is Global but Health care is local

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2:55 – 3:05 PM
BREAK
3:05 – 3:30 PM
Emergency and Urgent Care: How COVID-19 Vulnerabilities and Solutions Will Change the Model

How are the roles of emergency medicine and urgent care changing in light of the COVID-19 pandemic? Panelists will discuss this topic as well as how current and anticipated new technologies can aid in the delivery of community, urgent, and emergency care now and in the future.

Given a false negative at the point of care has consequences well beyond the patient being treated, does this change what can be offered in the various patient care settings?

Moderator:
Ron Walls, MD, EVP and Chief Operating Officer, BH; Neskey Family Professor of Emergency Medicine, HMS

Troyen Brennan, MD, EVP and CMO, CVS Health

  • Labs – Quest Diagnostics
  • Point of care – Tests will move to Home will replace Labs
  • Pandemic heated hard people of color and comorbidities

David Brown, MD, Chair, Department of Emergency Medicine, MGH; MGH Trustees Professor of Emergency Medicine, HMS

  • Tele Urgent care
  • EMS Providers using TeleHealth
  • Scaled up capability needed administered by Governmental agency
  • new surges of some disease after Re-opening
  • Sensitivity of test for ill patient
  • Demand for Urgent Care will decline higher acuity will increase

Julie Lankiewicz, Head, Clinical Affairs & Health Economics Outcomes Research, Bose Health

  • Management of care with VRE other microbial agents
  • Vulnerable populations EKG between patients no more
  • mitigation of care – Brand new prescriptions for Anxiety and burnout
  • Digital solution to replace medications – audio content to avoid pharmacology by other methods of relaxation
  • Herd immunity  – Digital transformation

Michael VanRooyen, MD, Chairman, Department of Emergency Medicine, BH; Director, Humanitarian Initiative, Harvard University; Professor, HMS

  •  Separate Patients from Providers
  • Infection threat – Intubation – Tent for airsolize – trap air in the hood
  • manage Emergence Health OUT side of EM at Hospital
  • Rapid testing will continue to be central in Emergency Care

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3:30 – 3:55 PM
Accelerating Diagnostics – Maintaining the Priority: Lab, Home and Digital

COVID-19 diagnostics, a linchpin in controlling viral spread — what caused testing in the U.S. to fall so far behind and how can those missteps be prevented in the future? How do the diagnostics industry, and academic medicine, develop the tests that enable group activities including businesses sports, and community? What is the profile of diagnostic tests coming online in the coming months and into next year? What lessons can be learned to guide the global health community in future disease outbreaks? Given the biological complexity, required performance standards, and immense volume is a simple DTC assays possible on a greatly accelerated timeline.

Moderator:
Jeffrey Golden, MD, Chair, Department of Pathology, BH; Ramzi S. Cotran Professor of Pathology, HMS

James Brink, MD, Chief, Department of Radiology, MGH; Juan M. Taveras Professor of Radiology, HMS

  • social determinant of care – communities not able to social distance, multiple languages
  • Radiology: Rapid evolution of pandemic
  • MGB – Standardizations

John Iafrate, MD, PhD, Vice Chair, Academic Affairs, MGH; Professor, Pathology, HMS

  • Ability for Rapid testing was not in existence in the US
  • CDC Test deployed
  • BD and Roche diagnostics will
  • recipients and donors of antibodies

Celine Roger-Dalbert, VP Diagnostic Assays R&D – Integrated Diagnostic Solutions, BD Life Sciences

  • Telemedicine collection of samples outside the hospital
  • Testing if a patient had – serology – antibody – past exposure after day 14
  • Testing if a patient has – PCR after 10 days the virus is not infectious but it is present
  • antigen detection testing
  • molecular test

Matt Sause, President and CEO, Roche Diagnostics Corporation

  • Serology – more people become infected
  • active infection
  • Partnership between FDA and the manufactures
  • In the US scaling – infrastructure in place is a must

 

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3:55 – 4:15 PM
FIRESIDE CHAT
Return to Work: Understanding the Technologies and Strategies

Diagnostic testing is a linchpin of the worldwide response to the coronavirus. How does a global leader pivot to develop molecular diagnostics for a novel global pathogen? How does it scale, including managing international supply chains, to provide unprecedented levels of products and services. What are the expectations for return to work and a possible disease spike in fall 2020 or beyond. How will the diagnostics industry be permanently changed.

Moderator:
Peter Markell, EVP, Finance and Administration, CFO & Treasurer, Mass General Brigham

Marc Casper, Chairman, President and CEO, Thermo Fisher Scientific

  • Re-opening the economy requires Testing for certification of health
  • Testing bringing confidence
  • PCR – have or have not viral proteins: 5Millions a week, June 10 million tests
  • antibody testing will also become available in massive scale
  • Supply chain, more preparedness, robustness of the supply chain
  • Buying supply in China vs US based
  • stockpiling by governments not only at the Hospital level vs JIT shocks to the system
  • Work from home – productivity is good, work from home not ideal environment
  • Transportation and elevators – social distancing – impossible
  • Global change enormous Telemedicine ramp up Academic center Telemedicine will prevail
  • more resilient Health care system dialogue and communications across countries technology will play a role it will improve Health care every where

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4:15 – 4:40 PM
Digital Therapeutics: Current and Future Opportunities

Digital therapeutics (DTx) represents an emerging class of therapies that is poised for significant growth. Yet already, these software-driven, evidence-based tools for the prevention, management, and/or treatment of disease are already changing patients’ lives. This panel will address how existing DTx are having an early impact — in the COVID-19 pandemic and — and where current development efforts are headed in the coming years especially if there is a aggressive return of the virus in the fall 2020 or later.

Moderator:
Hadine Joffe, MD, Vice Chair for Research, Department of Psychiatry, Executive Director, Mary Horrigan Connors Center for Women’s Health and Gender Biology, BH; Paula A. Johnson Professor, Women’s Health, HMS

Priya Abani, CEO, AliveCor

  • Medical grade EKG devices
  • Telemedicine on the rise

Julia Hu, CEO, Lark Health

  • AI 24×7 counseling data streaming in data
  • TeleHealth
  • VirtualHealth Provider – working hard to scale
  • Patients @Home work at their schedule 9PM – midnight text messaging
  • 70% in employment reported stress experienced by employees

Dawn Sugarman, PhD, Assistant Psychologist, Division of Alcohol, Drugs, and Addiction, McLean; Assistant Professor, Psychiatry, HMS

  • Opioid & substance abuse
  • Treatment gap for women – gender specific Programs online gender specific  treatment

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4:40 – 5:05 PM
Investing During and After the Coronavirus Crisis

The investment environment in life sciences and health care overall was at record levels for most of the last decade. What will this environment look like in the wake of the COVID-19 pandemic – especially over the near to mid-term? Will investor priorities and enthusiasm shift? What is the investor role in developing new coronavisurs tests, vaccines, and therapeutics?

Moderator:
Roger Kitterman, VP, Venture and Managing Partner, Partners Innovation Fund, Mass General Brigham

Jan Garfinkle, Founder & Manager Partner, Arboretum Ventures

  • Can you close a deal with out meeting management team
  • Known funds will prevail vs new funds Parma adjacencies vs medical devices
  • Telehealth is of interest GI, Cardiovascular
  • Mental health with TeleHealth

Phillip Gross, Managing Director, Adage Capital Management

  • Clinical Trial issues
  • Inflating value of Biotech because therapeutic related to COVID gives a boost
  • 90 programs in clinical trials on Vaccine

Christopher Viehbacher, Managing Partner, Gurnet Point Capital

  • Health care was great investment because prople will get sick.
  • deal making switch to zoom meeting, no site visit, banking is adapting
  • relationship with people you do not know will be very hard
  • early stage if the cloud exist
  • Medical profession: Healthcare system is hurting revenue loss new technologies
  • clinical trials will be changing like for COVID
  • Sharing data will accelerate science

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5:05 – 5:10 PM
Closing Remarks
Gregg Meyer, MDChief Clinical Officer, Mass General Brigham; Interim President, NWH; Professor of Medicine, HMS
Ravi Thadhani, MD, CAO, Mass General Brigham; Professor of Medicine and Faculty Dean for Academic Programs, HMS

Mass General Brigham (formerly Partners Healthcare) is pleased to invite media to attend the World Medical Innovation Forum (WMIF) virtual event on Monday, May 11. Our day-long interactive web event features expert discussions of COVID-related infectious disease innovation and the pandemic’s impact on transforming medicine, plus insights on how care may be radically transformed post-COVID. The agenda features nearly 70 executive speakers from the healthcare industry, venture, start-ups, consumer health and the front lines of COVID care, including many of our Harvard Medical School-affiliated researchers and clinicians. The event replaces our annual in-person conference, which we plan to resume in 2021.

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