Funding, Deals & Partnerships: BIOLOGICS & MEDICAL DEVICES; BioMed e-Series; Medicine and Life Sciences Scientific Journal – http://PharmaceuticalIntelligence.com
Novartis vet Danny Bar-Zohar leaps back into R&D, taking over the development team at Merck KGaA as Luciano Rossetti steps out
John Carroll
Editor & Founder
After a brief stint as a biotech investor at Syncona, Novartis vet Danny Bar-Zohar is back in R&D, and he’s taking the lead position at Merck KGaA’s drug division.
Bar-Zohar had led late-stage clinical development across a variety of areas — neuroscience, immunology, oncology and ophthalmology, among others — before joining the migration of talent out of the Basel-based multinational. He had been at Novartis for 7 years, which followed an earlier chapter in research at Teva.
Luciano Rossetti
The scientist is taking the lead on development at Merck KGaA, in place of Luciano Rossetti, who had a mixed record in R&D that nevertheless marked a big improvement over the dismal run the company had endured earlier. Joern-Peter Halle will continue on as global head of research. Rossetti is retiring after 6 years of running the research group, which has extensive operations in Germany as well as Massachusetts.
Their PD-L1 Bavencio — allied with Pfizer — has had a few successes, and a whole slate of failures. Sprifermin was touted as a big potential advance in osteoarthritis, but Merck KGaA is now auctioning off that part of the portfolio. One of the few late-stage bright spots has been their MET inhibitor tepotinib, which won breakthrough status and now is under priority review. That drug faces a rival at Novartis — capmatinib — that won an accelerated OK at the FDA in May.
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There’s also a BTK inhibitor, evobrutinib, that’s being developed for MS. But that’s a very crowded field, and Sanofi has been bullish about its prospects in the same research niche after buying out Principia.
Moving back into mid-stage development, there’s a major program underway for bintrafusp alfa, a bifunctional fusion protein targeting TGF-β and PD-L1, which Merck KGaA has high hopes for.
That all marks some bright, though limited, prospects for Merck KGaA, highlighting the need to find something new to beef up the pipeline. Bar-Zohar will get a say in that.
LPBI Group’s decision to publish the Table of Contents of this Report does not imply endorsement of the Report
Aviva Lev-Ari, PhD, RN, Founder 1.0 & 2.0 LPBI Group
Guest Reporter: MIKE WOOD
Marketing Executive BIOTECH FORECASTS
ABOUT BIOTECH FORECASTS
BIOTECH FORECASTS is a full-service market research and business- consulting firm primarily focusing on healthcare, pharmaceutical, and biotechnology industries. BIOTECH FORECASTS provides global as well as medium and small Pharmaceutical and Biotechnology businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions”. BIOTECH FORECASTS has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions, and achieve sustainable growth in their respective market domain.
CAR T-cell therapy as a part of adoptive cell therapy (ACT), has become one of the most rapidly growing and promising fields in the Immuno-oncology. As compared to the conventional cancer therapies, CAR T-cell therapy is the single-dose solution for the treatment of various cancers, significantly for some lethal forms of hematological malignancies.
CAR T-cell therapy mainly involves the use of engineered T-cells, the process starts with the extraction of T-cells through leukapheresis, either from the patient (autologous) or a healthy donor (allogeneic). After the expression of a synthetic receptor (Chimeric Antigen Receptor) in the lab, the altered T-cells are expanded to the right dose and administered into the patient’s body. where they target and attach to a specific antigen on the tumor surface, to kill the cancerous cells by igniting the apoptosis.
The global CAR T-cell therapy market was valued at $734 million in 2019 and is estimated to reach $4,078 million by 2027, registering a CAGR of 23.91% from 2020 to 2027.
Factors that drive the market growth involve, (1)Increased in fundingfor R&D activities pertaining to cell and gene therapy. By H1 2020 cell and gene therapy companies set new records in the fundraising despite the pandemic crisis. For Instance, by June 2020 totaled $1,452 Million raised in Five IPOs including, Legend Biotech ($487M), Passage Bio ($284M), Akouos ($244M), Generation Bio ($230M), and Beam Therapeutics ($207M), which is 2.5 times the total IPO of 2019.
Moreover, in 2019 cell therapy companies specifically have raised $560 million of venture capital, including Century Therapeutics ($250M), Achilles Therapeutics Ltd. ($121M in series B), NKarta Therapeutics Inc. ($114M), and Tmunity Therapeutics ($75M in Series B).
(2)Increased in No. of Approved Products, By July 2020, there are a total of 03 approved CAR T-cell therapy products, including KYMRIAH®, YESCARTA®, and the most recently approved TECARTUS™ (formerly KTE-X19). Furthermore, two CAR T-cell therapies BB2121, and JCAR017 are expected to get the market approval by the end of 2020 or in early 2021.
Other factors that boost the market growth involves; (3) increase in government support, (4) ethical acceptance of Cell and Gene therapy for cancer treatment, (5) rise in the prevalence of cancer, and (6) an increase in awareness regarding the CAR T-cell therapy.
However, high costs associated with the treatment (KYMRIAH® cost around $475,000, and YESCARTA® costs $373,000 per infusion), long production hours, obstacles in treating solid tumors, and unwanted immune responses & potential side effects might hamper the market growth.
The report also presents a detailed quantitative analysis of the current market trends and future estimations from 2020 to 2027.
The forecasts cover 2 Approach Types, 5 Antigen Types, 5 Application Types, 4 Regions, and 14 Countries.
The report comes with an associated file covering quantitative data from all numeric forecasts presented in the report, as well as with a Clinical Trials Data File.
KEY FINDINGS
The report has the following key findings:
The global CAR T-cell therapy market accounted for $734 million in 2019 and is estimated to reach $4,078 million by 2027, registering a CAGR of 23.91% from 2020 to 2027.
By approach type the autologous segment was valued at $655.26 million in 2019 and is estimated to reach $ 3,324.52 million by 2027, registering a CAGR of 22.51% from 2020 to 2027.
By approach type, the allogeneic segment exhibits the highest CAGR of 32.63%.
Based on the Antigen segment CD19 was the largest contributor among the other segments in 2019.
The Acute lymphocytic leukemia (ALL) segment generated the highest revenue and is expected to continue its dominance in the future, followed by the Diffuse large B-cell lymphoma (DLBCL) segment.
North America dominated the global CAR T-cell therapy market in 2019 and is projected to continue its dominance in the future.
China is expected to grow the highest in the Asia-Pacific region during the forecast period.
TOPICS COVERED
The report covers the following topics:
Market Drivers, Restraints, and Opportunities
Porters Five Forces Analysis
CAR T-Cell Structure, Generations, Manufacturing, and Pricing Models
Top Winning Strategies, Top Investment Pockets
Analysis of by Approach Type, Antigen Type, Application, and Region
51 Company Profiles, Product Portfolio, and Key Strategies
Approved Products Profiles, and list of Expected Approvals
COVID-19 Impact on the Cell and Gene Therapy Industry
CAR T-cell therapy clinical trials analysis from 1997 to 2019
Market analysis and forecasts from 2020 to 2027
FORECAST SEGMENTATION
By Approach Type
Autologous
Allogeneic
By Antigen Type
CD19
CD20
BCMA
MSLN
Others
By Application
Acute lymphoblastic leukemia (ALL)
Diffuse large B-Cell lymphoma (DLBCL)
Multiple Myeloma (MM)
Acute Myeloid Leukemia (AML)
Other Cancer Indications
By Region
North America: USA, Canada, Mexico
Europe: UK, Germany, France, Spain, Italy, Rest of Europe
Asia-Pacific: China, Japan, India, South Korea, Rest of Asia-Pacific
LAMEA: Brazil, South Africa, Rest of LAMEA
Contact at info@biotechforecasts.com for any Queries or Free Report Sample
The Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV) Partnership on May 18, 2020: Leadership of AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, Eisai, Eli Lilly, Evotec, Gilead, GlaxoSmithKline, Johnson & Johnson, KSQ Therapeutics, Merck, Novartis, Pfizer, Roche, Sanofi, Takeda, and Vir. We also thank multiple NIH institutes (especially NIAID), the FDA, BARDA, CDC, the European Medicines Agency, the Department of Defense, the VA, and the Foundation for NIH
Reporter: Aviva Lev-Ari, PhD, RN
May 18, 2020
Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV) An Unprecedented Partnership for Unprecedented Times
It has been more than a century since the world has encountered a pandemic like coronavirus disease 2019 (COVID-19), and the rate of spread of COVID-19 around the globe and the associated morbidity and mortality have been staggering.1 To address what may be the greatest public health crisis of this generation, it is imperative that all sectors of society work together in unprecedented ways, with unprecedented speed. In this Viewpoint, we describe such a partnership.
First reported in Wuhan, China, in December 2019, COVID-19 is caused by a highly transmissible novel coronavirus, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). By March 2020, as COVID-19 moved rapidly throughout Europe and the US, most researchers and regulators from around the world agreed that it would be necessary to go beyond “business as usual” to contain this formidable infectious agent. The biomedical research enterprise was more than willing to respond to the challenge of COVID-19, but it soon became apparent that much-needed coordination among important constituencies was lacking.
Clinical trials of investigational vaccines began as early as January, but with the earliest possible distribution predicted to be 12 to 18 months away. Clinical trials of experimental therapies had also been initiated, but most, except for a trial testing the antiviral drug remdesivir,2 were small and not randomized. In the US, there was no true overarching national process in either the public or private sector to prioritize candidate therapeutic agents or vaccines, and no efforts were underway to develop a clear inventory of clinical trial capacity that could be brought to bear on this public health emergency. Many key factors had to change if COVID-19 was to be addressed effectively in a relatively short time frame.
On April 3, leaders of the National Institutes of Health (NIH), with coordination by the Foundation for the National Institutes of Health (FNIH), met with multiple leaders of research and development from biopharmaceutical firms, along with leaders of the US Food and Drug Administration (FDA), the Biomedical Advanced Research and Development Authority (BARDA), the European Medicines Agency (EMA), and academic experts. Participants sought urgently to identify research gaps and to discuss opportunities to collaborate in an accelerated fashion to address the complex challenges of COVID-19.
These critical discussions culminated in a decision to form a public-private partnership to focus on speeding the development and deployment of therapeutics and vaccines for COVID-19. The group assembled 4 working groups to focus on preclinical therapeutics, clinical therapeutics, clinical trial capacity, and vaccines (Figure). In addition to the founding members, the working groups’ membership consisted of senior scientists from each company or agency, the Centers for Disease Control and Prevention (CDC), the Department of Veterans Affairs (VA), and the Department of Defense.
Figure.
Accelerating COVID-19 Therapeutic Interventions and Vaccines
ACTIV’s 4 working groups, each with one cochair from NIH and one from industry, have made rapid progress in establishing goals, setting timetables, and forming subgroups focused on specific issues (Figure). The goals of the working group, along with a few examples of their accomplishments to date, include the following.
The Preclinical Working Group was charged to standardize and share preclinical evaluation resources and methods and accelerate testing of candidate therapies and vaccines to support entry into clinical trials. The aim is to increase access to validated animal models and to enhance comparison of approaches to identify informative assays. For example, through the ACTIV partnership, this group aims to extend preclinical researchers’ access to high-throughput screening systems, especially those located in the Biosafety Level 3 (BSL3) facilities currently required for many SARS-CoV-2 studies. This group also is defining a prioritization approach for animal use, assay selection and staging of testing, as well as completing an inventory of animal models, assays, and BSL 3/4 facilities.
The Therapeutics Clinical Working Group has been charged to prioritize and accelerate clinical evaluation of a long list of therapeutic candidates for COVID-19 with near-term potential. The goals have been to prioritize and test potential therapeutic agents for COVID-19 that have already been in human clinical trials. These may include agents with either direct-acting or host-directed antiviral activity, including immunomodulators, severe symptom modulators, neutralizing antibodies, or vaccines. To help achieve these goals, the group has established a steering committee with relevant expertise and objectivity to set criteria for evaluating and ranking potential candidate therapies submitted by industry partners. Following a rigorous scientific review, the prioritization subgroup has developed a complete inventory of approximately 170 already identified therapeutic candidates that have acceptable safety profiles and different mechanisms of action. On May 6, the group presented its first list of repurposed agents recommended for inclusion in ACTIV’s master protocol for adaptive clinical trials. Of the 39 agents that underwent final prioritization review, the group identified 6 agents—including immunomodulators and supportive therapies—that it proposes to move forward into the master protocol clinical trial(s) expected to begin later in May.
The Clinical Trial Capacity Working Group is charged with assembling and coordinating existing networks of clinical trials to increase efficiency and build capacity. This will include developing an inventory of clinical trial networks supported by NIH and other funders in the public and private sectors, including contract research organizations. For each network, the working group seeks to identify their specialization in different populations and disease stages to leverage infrastructure and expertise from across multiple networks, and establish a coordination mechanism across networks to expedite trials, track incidence across sites, and project future capacity. The clinical trials inventory subgroup has already identified 44 networks, with access to adult populations and within domestic reach, for potential inclusion in COVID-19 trials. Meanwhile, the survey subgroup has developed 2 survey instruments to assess the capabilities and capacities of those networks, and its innovation subgroup has developed a matrix to guide deployment of innovative solutions throughout the trial life cycle.
The Vaccines Working Group has been charged to accelerate evaluation of vaccine candidates to enable rapid authorization or approval.4 This includes development of a harmonized master protocol for adaptive trials of multiple vaccines, as well as development of a trial network that could enroll as many as 100 000 volunteers in areas where COVID-19 is actively circulating. The group also aims to identify biomarkers to speed authorization or approval and to provide evidence to address cross-cutting safety concerns, such as immune enhancement. Multiple vaccine candidates will be evaluated, and the most promising will move to a phase 2/3 adaptive trial platform utilizing large geographic networks in the US and globally.5 Because time is of the essence, ACTIV will aim to have the next vaccine candidates ready to enter clinical trials by July 1, 2020.
Corey L , Mascola JR , Fauci AS , Collins FS . A strategic approach to COVID-19 vaccine R&D. Science. Published online May 11, 2020. doi:10.1126/science.abc5312PubMedGoogle Scholar
Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV) portal. National Institutes of Health. Accessed May 15, 2020. https://www.nih.gov/ACTIV
Advancing Drug Development – 12/12/2019, 8:30AM – 8:30PM at The University of Massachusetts Club, One Beacon Street, Boston, MA
Reporter: Aviva Lev-Ari, PhD, RN
4th Advancing Drug Development Forum – Making the Impossible Possible – Harnessing Small Molecule Drug Development scheduled to take place December 12th, 2019 at The University of Massachusetts Club, in Boston, Massachusetts from 8:30 AM – 8:30 PM.
Scientists are more than just chipping away and kicking down the barricades to develop complex small molecule products better and faster. Successful companies are spending quality time finding novel and clever approaches and powerful technologies to better support their knowledgeable teams. Often it takes establishing strong partnerships with 1 or more specialized service providers, cleverly combining resources – always striving to raise the bar in order to make life threatening diseases more of a chronic and tolerable disease or eradicated completely.
Hear from key opinion leaders in pharma, biotech, the investment community and innovative service providers on how they are meeting the challenges. Keep in mind, it takes being open-minded, flexible and willing sometimes to redesigning a new formulation that better enhances bioavailability, optimizes drug-delivery profiles, reduces dosing frequency, or improves the patient experience to have the potential to deliver quicker returns on investments than developing a completely new drug.
Bridging the Gap between Experimentation and Implementation
Panel Discussion
10:15 AM
Refreshment Break
10:45 AM
Cross-Talk Between Clin-Ops and Tech-Ops
Panel Discussion
11:15 AM
The Cost of Speed and Value in Drug Development
Panel Discussion
12:00 PM
Networking Luncheon
1:00 PM
Advances in the Delivery of Therapeutics to the Brain
Academic Keynote Mansoor M. Amiji, Ph.D., University Distinguished Professor, Professor of Pharmaceutical Sciences & Professor of Chemical Engineering, Northeastern University
1:30 PM
Advancing Drug Delivery and Controlled Release
Panel Discussion
2:00 PM
Drowning in DATA
2:30 PM
Disruptive AI Technologies Improving Drug Development
3:00 PM
Refreshment Break
3:30 PM
Small Specialty VS Full Service – What Makes Sense for US?
Panel Discussion
4:00 PM
Fireside Chat Michael Bonney, Executive Chair, Kaleido Biosciences Heinrich Schlieker, Ph.D., SVP Technical Operations, Sage Therapeutics
scPopCorn: A New Computational Method for Subpopulation Detection and their Comparative Analysis Across Single-Cell Experiments
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
4.2.5 scPopCorn: A New Computational Method for Subpopulation Detection and their Comparative Analysis Across Single-Cell Experiments, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 4: Single Cell Genomics
Present day technological advances have facilitated unprecedented opportunities for studying biological systems at single-cell level resolution. For example, single-cell RNA sequencing (scRNA-seq) enables the measurement of transcriptomic information of thousands of individual cells in one experiment. Analyses of such data provide information that was not accessible using bulk sequencing, which can only assess average properties of cell populations. Single-cell measurements, however, can capture the heterogeneity of a population of cells. In particular, single-cell studies allow for the identification of novel cell types, states, and dynamics.
One of the most prominent uses of the scRNA-seq technology is the identification of subpopulations of cells present in a sample and comparing such subpopulations across samples. Such information is crucial for understanding the heterogeneity of cells in a sample and for comparative analysis of samples from different conditions, tissues, and species. A frequently used approach is to cluster every dataset separately, inspect marker genes for each cluster, and compare these clusters in an attempt to determine which cell types were shared between samples. This approach, however, relies on the existence of predefined or clearly identifiable marker genes and their consistent measurement across subpopulations.
Although the aligned data can then be clustered to reveal subpopulations and their correspondence, solving the subpopulation-mapping problem by performing global alignment first and clustering second overlooks the original information about subpopulations existing in each experiment. In contrast, an approach addressing this problem directly might represent a more suitable solution. So, keeping this in mind the researchers developed a computational method, single-cell subpopulations comparison (scPopCorn), that allows for comparative analysis of two or more single-cell populations.
The performance of scPopCorn was tested in three distinct settings. First, its potential was demonstrated in identifying and aligning subpopulations from single-cell data from human and mouse pancreatic single-cell data. Next, scPopCorn was applied to the task of aligning biological replicates of mouse kidney single-cell data. scPopCorn achieved the best performance over the previously published tools. Finally, it was applied to compare populations of cells from cancer and healthy brain tissues, revealing the relation of neoplastic cells to neural cells and astrocytes. Consequently, as a result of this integrative approach, scPopCorn provides a powerful tool for comparative analysis of single-cell populations.
This scPopCorn is basically a computational method for the identification of subpopulations of cells present within individual single-cell experiments and mapping of these subpopulations across these experiments. Different from other approaches, scPopCorn performs the tasks of population identification and mapping simultaneously by optimizing a function that combines both objectives. When applied to complex biological data, scPopCorn outperforms previous methods. However, it should be kept in mind that scPopCorn assumes the input single-cell data to consist of separable subpopulations and it is not designed to perform a comparative analysis of single cell trajectories datasets that do not fulfill this constraint.
Several innovations developed in this work contributed to the performance of scPopCorn. First, unifying the above-mentioned tasks into a single problem statement allowed for integrating the signal from different experiments while identifying subpopulations within each experiment. Such an incorporation aids the reduction of biological and experimental noise. The researchers believe that the ideas introduced in scPopCorn not only enabled the design of a highly accurate identification of subpopulations and mapping approach, but can also provide a stepping stone for other tools to interrogate the relationships between single cell experiments.
Verily kicked off Project Baseline in April 2017, with a health study geared to gather health data from 10,000 people over four years – Partnership with Big Pharma on Clinical Trials announced on 5/21/2019
Reporter: Aviva Lev-Ari, PhD, RN
UPDATED on 5/22/2019
On Tuesday morning, Verily, Alphabet’s unit focused on life sciences, announced that it had formed alliances with Novartis, Sanofi, Otsuka, and Pfizer to work on clinical trials. What are those drug giants getting out of the deal? STAT sat down with Scarlet Shore, who leads Verily’s project Baseline, to learn about the company’s vision for the clinical trial of the future. The conversation took place at CNBC’s “Healthy Returns” conference, where the partnerships were unveiled.
“Evidence generation through research is the backbone of improving health outcomes. We need to be inclusive and encourage diversity in research to truly understand health and disease, and to provide meaningful insights about new medicines, medical devices and digital health solutions,” said Jessica Mega, M.D., Verily’s chief medical and scientific officer, in the statement. “Novartis, Otsuka, Pfizer and Sanofi have been early adopters of advanced technology and digital tools to improve clinical research operations, and together we’re taking another step towards making research accessible and generating evidence to inform better treatments and care.”
Jessica Mega, M.D., Verily’s chief medical and scientific officer, in the statement. “Novartis, Otsuka, Pfizer and Sanofi have been early adopters of advanced technology and digital tools to improve clinical research operations, and together we’re taking another step towards making research accessible and generating evidence to inform better treatments and care.”
The term ‘antibiotic’ was introduced by Selman Waksman as any small molecule, produced by a microbe, with antagonistic properties on the growth of other microbes. An antibiotic interferes with bacterial survival via a specific mode of action but more importantly, at therapeutic concentrations, it is sufficiently potent to be effective against infection and simultaneously presents minimal toxicity. Infectious diseases have been a challenge throughout the ages. From 1347 to 1350, approximately one-third of Europe’s population perished to Bubonic plague. Advances in sanitary and hygienic conditions sufficed to control further plague outbreaks. However, these persisted as a recurrent public health issue. Likewise, infectious diseases in general remained the leading cause of death up to the early 1900s. The mortality rate shrunk after the commercialization of antibiotics, which given their impact on the fate of mankind, were regarded as a ‘medical miracle’. Moreover, the non-therapeutic application of antibiotics has also greatly affected humanity, for instance those used as livestock growth promoters to increase food production after World War II.
Currently, more than 2 million North Americans acquire infections associated with antibiotic resistance every year, resulting in 23,000 deaths. In Europe, nearly 700 thousand cases of antibiotic-resistant infections directly develop into over 33,000 deaths yearly, with an estimated cost over €1.5 billion. Despite a 36% increase in human use of antibiotics from 2000 to 2010, approximately 20% of deaths worldwide are related to infectious diseases today. Future perspectives are no brighter, for instance, a government commissioned study in the United Kingdom estimated 10 million deaths per year from antibiotic resistant infections by 2050.
The increase in antibiotic-resistant bacteria, alongside the alarmingly low rate of newly approved antibiotics for clinical usage, we are on the verge of not having effective treatments for many common infectious diseases. Historically, antibiotic discovery has been crucial in outpacing resistance and success is closely related to systematic procedures – platforms – that have catalyzed the antibiotic golden age, namely the Waksman platform, followed by the platforms of semi-synthesis and fully synthetic antibiotics. Said platforms resulted in the major antibiotic classes: aminoglycosides, amphenicols, ansamycins, beta-lactams, lipopeptides, diaminopyrimidines, fosfomycins, imidazoles, macrolides, oxazolidinones, streptogramins, polymyxins, sulphonamides, glycopeptides, quinolones and tetracyclines.
The increase in drug-resistant pathogens is a consequence of multiple factors, including but not limited to high rates of antimicrobial prescriptions, antibiotic mismanagement in the form of self-medication or interruption of therapy, and large-scale antibiotic use as growth promotors in livestock farming. For example, 60% of the antibiotics sold to the USA food industry are also used as therapeutics in humans. To further complicate matters, it is estimated that $200 million is required for a molecule to reach commercialization, with the risk of antimicrobial resistance rapidly developing, crippling its clinical application, or on the opposing end, a new antibiotic might be so effective it is only used as a last resort therapeutic, thus not widely commercialized.
Besides a more efficient management of antibiotic use, there is a pressing need for new platforms capable of consistently and efficiently delivering new lead substances, which should attend their precursors impressively low rates of success, in today’s increasing drug resistance scenario. Antibiotic Discovery Platforms are aiming to screen large libraries, for instance the reservoir of untapped natural products, which is likely the next antibiotic ‘gold mine’. There is a void between phenotanypic screening (high-throughput) and omics-centered assays (high-information), where some mechanistic and molecular information complements antimicrobial activity, without the laborious and extensive application of various omics assays. The increasing need for antibiotics drives the relentless and continuous research on the foreground of antibiotic discovery. This is likely to expand our knowledge on the biological events underlying infectious diseases and, hopefully, result in better therapeutics that can swing the war on infectious diseases back in our favor.
During the genomics era came the target-based platform, mostly considered a failure due to limitations in translating drugs to the clinic. Therefore, cell-based platforms were re-instituted, and are still of the utmost importance in the fight against infectious diseases. Although the antibiotic pipeline is still lackluster, especially of new classes and novel mechanisms of action, in the post-genomic era, there is an increasingly large set of information available on microbial metabolism. The translation of such knowledge into novel platforms will hopefully result in the discovery of new and better therapeutics, which can sway the war on infectious diseases back in our favor.
Presentation on CAR (chimeric antigen receptor) T-cell Therapies Dr. Carl June, Director of Translational Research, Abramson Cancer Center University of PennsylvaniaModerator:Dr. Raju Kucherlapati, Professor of Genetics, Harvard Medical School
9:40 AM – 10:00 AM Presentation on CAR (chimeric antigen receptor) T-cell Therapies Dr. Carl June, Director of Translational Research, Abramson Cancer Center University of PennsylvaniaModerator:Dr. Raju Kucherlapati, Professor of Genetics, Harvard Medical School
Dr. Alise Reicin, President, Global Clinical Development, Celgene
endpoints need to be redefined it effect price of drug development
in Oncology – Basket and Umbrellas Trial – two stufies approval for melanoma, biomarker
Is response rate is 30% va 50% and Phase 3 is negative Kertuda when worked at Merck dose ranging last phase when response dropped from 60% to 30% in the case of Study C3
30% of the cost of the study – 30% was translational
CRO model appropriate oversite vs douplication of tasks
Dr. Bruce Chabner, Director of Clinical Research, Mass General Hospital Cancer Center
Old paradigm Phase 1,2,3 – off the board now, New drugs do not need the old paradigm
Phase i1 changed if genomics is involved multiple cohorts at same time
FDA play amazing role
patient selection is key
mutations in rare disease vs mutations in cancer
immunotherapy and endogenic drugs with chemo in RENAL cancer
check-points – lung cancer understood money spent to find responders
HOW to select which cheno therapy — no improvement today vs past
40 drugs approved by accelerated approval one came back on the market
Financial burden of being in a clinical trial
Foundation gives money to Institutions to reimburse patients for flights, meals, acommodation, Pharma are reluctant to participants due to potential accusation of bias id Pharma pays Patients that participate in Clinical Trials
Safety – benefit risk is what physicians work with every day
Drugs paradign of small molecules does not hold is you have a drug that deliver entire organelle – how you dose for half life how you prive the rate of replication in the body
Surrogate markers
Taking a drug off the market ->> conditional approvals [approval can be taken back or require additional studies] not a favorable view of Pharma in the present to support Conditional approval vs accelerated approval
Dr. Daniel Curran, Head of the Rare Diseases Therapeutic Area Unit, Takeda
worked with Academic community on how to treat rare disease in the future
David Lucchino, Co-Founder and CEO, Frequency Therapeutics
Show clinical benefit and impact multiplemyeloma
patients becoming activists
access
foundation by patients
Patient to get cloud
Dr. Dhaval Patel, Executive Vice President and Chief Scientific Officer, UCB
if a modality will cure a disease justify innovation Model for payment: Mortgage Model
Access INDEX pricing – US will benchmark the price in other parts of the world
Gene therapy is not only got monognenic diseases but for
decrease work involved in development of drugs
Dr. James Wilson, Director – Gene Therapy Program, University of Pennsylvania
tension between physicians and development of the perfect drug.
AV
Protein replacement therapy repeated infusion gene therapy infrastructure develop in China for China, Develop in India for India vs develop in US for India or China
Cost of manufacturing to decrease
Dr. Timothy Yu, Assistant Professor in Pediatrics, Harvard Medical School
Scalability beyond the one case: the mechanism for the drug has generability for other aptients iwth same mutation the method has no limit
Molecular type of mutation Spice Switching strategy, just-in-time manufacturing
since 2003 testify in the House, against Canadian David Brenner was asked about importation from Canada of breast cancer tamoxiphen at a lower price than in the US.
From importation crisis to Obama Care – stable system Medicare Part D – drug coverage for Olderly
After Obama – Price is part of doing business REBATES $100Billion the valur of REBATES
Neuroscience – Pharma understand biomarkers and now genetics
Vaccines – across species in the animal WORLD
Dr. James Bradner, President, Novartis Institutes for BioMedical Research
Attempt not to tweak the PIPELINE: CVD, NEUROSCIENCE AND CANCER
485 Teams doing R&D convluence of interests to develop cure
Modularity – BioMolecule — multimodality biophysical biochemical protein degradation – rewire disease cells with biomolecules combing propertitie of permiability of small molecules
PHARMACOLOGICAL PREVENTION – biotech is inspiring only Pharma can solve
Dr. Mathai Mammen, Global Head of R&D, Janssen Pharmaceutical Companies of J&J
immunooncology – mutation signature – marker protein signature — that group of diseases respond to
colon cancer and multiple myeloma — understanding of the biology was deep
Cholesterol Lowering Novel PCSK9 drugs: Praluent [Sanofi and Regeneron] vs Repatha [Amgen] – which drug cuts CV risks enough to make it cost-effective?
Reporter: Aviva Lev-Ari, PhD, RN
UPDATED on 1/15/2019
In the patent fight over PCSK9 inhibitors, the Supreme Court refused to hear Amgen’s appeal of a 2017 court decision allowing Sanofi and Regeneron to continue selling alirocumab (Praluent). Amgen still has a new patent trial starting in Delaware federal court next month, FiercePharma reports.
Amgen’s Repatha hits wall at SCOTUS but presses ahead—new price breaks included
ODYSSEY OUTCOMES: Alirocumab Cost-effective at $6000 a Year
Marlene Busko
November 11, 2018
CHICAGO — Treatment with the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor alirocumab (Praluent, Sanofi/Regeneron) is cost-effective at $6319 a year when the willingness-to-pay threshold is the generally accepted $100,000 per quality-adjusted life-year (QALY), new research reports.
Deepak L. Bhatt, MD, MPH, Brigham and Women’s Hospital Heart and Vascular Center, Harvard Medical School, Boston, Massachusetts, presented these cost-effectiveness findings for alirocumab, based on data from the ODYSSEY OUTCOMES trial, here at the American Heart Association (AHA) 2018 Scientific Sessions
As previously reported, results from ODYSSEY OUTCOMES were presented at American College of Cardiology (ACC) 2018 Annual Scientific Session in March and the study was published November 7 in the New England Journal of Medicine.
Strengths of the current cost analysis include that it used actual trial data as opposed to modeling estimates, Bhatt pointed out to theheart.org | Medscape Cardiology.
Leadership we provide on curation of scientific findings in the eScientific publishing for Medical Education contents.
In Section 1, the Leadership we provide on curation of scientific findings in the eScientific publishing for Medical Education contents is demonstrated by a subset of several outstanding curations with high electronic Viewer volume. Each article included presents unique content contribution to Medical Clinical Education.
· These articles are extracted from the list of all Journal articles with >1,000 eReaders, 4/28/2012 to 1/29/2018.
Article Title, # of electronic Viewers, Author(s) Name
As BioMed e-Series Editor–in-Chief, I was responsible for the following functions of product design and product launch
· 16 Title creations for e-Books
· Designed 16 Cover Pages for a 16-Volume e-Books e-Series in BioMed
· Designed Series A eTOCs and approved of all 16 electronic Table of Contents (eTOCs), working in tandem with all the Editors of each volume and all the Author contributors of article contents in the Journal.
· Commissioned Articles by Authors/Curators per Author’s expertise on a daily basis
The Immune System, Stress Signaling, Infectious Diseases and Therapeutic Implications
9/4/2017
3747 pages
The VOICES of Patients, Hospitals CEOs, Health Care Providers, Caregivers and Families: Personal Experience with Critical Care and Invasive Medical Procedures
10/16/2017
826 pages
Medical Scientific Discoveries for the 21st Century & Interviews with Scientific Leaders
12/9/2017
2862 pages
Milestones in Physiology: Discoveries in Medicine, Genomics and Therapeutics
12/27/2015
11125 KB
Medical 3D BioPrinting – The Revolution in Medicine, Technologies for Patient-centered Medicine: From R&D in Biologics to New Medical Devices
12/30/2017
1005 pages
Pharmacological Agents in Treatment of Cardiovascular Disease
Work-in-Progress, Expected Publishing date in 2018
???
Interventional Cardiology and Cardiac Surgery for Disease Diagnosis and Guidance of Treatment
Work-in-Progress, Expected Publishing date in 2018
2012pharmaceutical
Amandeep Kaur
Aashir Awan, Phd
Abhisar Anand
Adina Hazan
Alan F. Kaul, PharmD., MS, MBA, FCCP
alexcrystal6
anamikasarkar
apreconasia
aviralvatsa
David Orchard-Webb, PhD
danutdaagmailcom
Demet Sag, Ph.D., CRA, GCP
Daniel Menzin
Dror Nir
dsmolyar
Ethan Coomber
evelinacohn
Gail S Thornton
Irina Robu
jayzmit48
jdpmd
jshertok
kellyperlman
Ed Kislauskis
larryhbern
Madison Davis
marzankhan
megbaker58
ofermar2020
Dr. Pati
pkandala
Rosalind Codrington, PhD
ritusaxena
Rick Mandahl
sjwilliamspa
Srinivas Sriram
stuartlpbi
Dr. Sudipta Saha
tildabarliya
zraviv06
zs22