2024

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Lessons from Monte Carlo Models: Why Drug Development is Hard

DrugBaron

“There is more than one way to skin a cat” is a rather gruesome British idiom, but its sentiment surely applies to running a successful pharmaceutical portfolio. It is now more than a decade since Francesco De Rubertis, together with Kevin Johnson and Michele Olier, coined the term “asset-centric” investing to describe the approach to portfolio creation that still underpins the strategy at Medicxi.

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Early Impact Of The Inflation Reduction Act On Drug Discovery

Forbes: Drug Truths

There is another aspect of this provision of the IRA that is starting to be felt – "the small molecule penalty"

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Efficacy of Fluoxetine and (R,S) Ketamine in Attenuating Conditioned Fear Behaviors in Male Mice [Behavioral Pharmacology]

ASPET

Post-traumatic stress disorder (PTSD) is caused by exposure to a traumatic or stressful event. Symptoms related to this disorder include persistent re-experiencing of memories and fear generalization. Current pharmacological treatments for PTSD are insufficient, with fewer than 30% of patients reporting symptom remission. This study aims to determine the efficacy of acute ( R,S) ketamine and chronic fluoxetine (FLX) in reducing fear memory and fear generalization.

Treatment 190
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Nitrogen?containing heterocyclic compounds: A ray of hope in depression?

Chemical Biology and Drug Design

Role of serotonin, dopamine, and norepinephrine in neural functions and symptoms involved during their altered levels. Abstract Depression is not similar to daily mood fluctuations and temporary emotional responses to day-to-day activities. Depression is not a passing problem; it is an ongoing problem. It deals with different episodes consisting of several symptoms that last for at least 2 weeks.

Drugs 189
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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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New drug triggers rapid cell death in cancer models

Broad Institute

New drug triggers rapid cell death in cancer models By Karen Zusi-Tran October 29, 2024 Breadcrumb Home New drug triggers rapid cell death in cancer models BRD-810 inhibits the MCL1 protein and reactivates apoptosis in tumor cells, displaying therapeutic potential in animal models. By Karen Zusi-Tran October 29, 2024 Credit: National Cancer Institute Human cells with acute myelocytic leukemia (AML) in the pericardial fluid.

Drugs 133
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How AI will reshape pharma by 2025

Drug Target Review

Artificial intelligence (AI) has revolutionised many industries, yet its adoption in pharmaceutical drug development has been notably slower. Concerns surrounding data security, the complexity of AI systems, and the rigorous regulatory frameworks in this field have caused the pharmaceutical industry to approach these technologies with caution. For years, AI and machine learning (ML) were often dismissed as little more than advanced statistics with little practical value in drug development.

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An Alzheimer’s drugmaker is accused of data manipulation. Should its trials be stopped?

BioPharma Drive: Drug Pricing

An experimental Alzheimer’s therapy from Cassava Sciences is still being tested in two Phase 3 studies, even as the company has come under regulatory scrutiny.

Trials 144
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AI Uses Zero-Shot Learning to Find Existing Drugs for Treating Rare Diseases

Nvidia Developer: Drug Discovery

A groundbreaking drug-repurposing AI model could bring new hope to doctors and patients trying to treat diseases with limited or no existing treatment options. A groundbreaking drug-repurposing AI model could bring new hope to doctors and patients trying to treat diseases with limited or no existing treatment options. Called TxGNN, this zero-shot tool helps doctors find new uses for existing drugs for conditions that might otherwise go untreated.

Disease 143
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FDA Warns of Toxic Lead in Cinnamon Products

Drugs.com

WEDNESDAY, March 6, 2024 -- The U.S. Food and Drug Administration issued a health advisory Wednesday warning consumers that six brands of ground cinnamon are tainted with lead. The FDA urged folks to throw away and not buy the following brands of.

FDA 145
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Silly Things Large Language Models Do With Molecules

Practical Cheminformatics

“Pay no attention to the man behind the curtain” - The Wizard of Oz Introduction Recently, a few groups have proposed general-purpose large language models (LLMs) like ChatGPT , Claude , and Gemini as tools for generating molecules. This idea is appealing because it doesn't require specialized software or domain-specific model training. One can provide the LLM with a relatively simple prompt like the one below, and it will respond with a list of SMILES strings.

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How Machine Learning Drives Clinical Trial Efficiency

Clinical trial data management is increasingly challenging as studies grow in complexity. Quickly accessing and analyzing study data is vital for assessing trial progress and patient safety. In this paper, we explore real-time data access and analysis for proactive study management. We investigate using adverse event (AE) data to monitor safety and discuss a clinical analytics platform that supports collaboration and data review workflows.

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Claims that AI will “revolutionise pharma R&D” are (almost entirely) hype

DrugBaron

This month’s announcement that Alphabet’s Isomorphic Labs, led by the talented and charismatic Deepmind co-founder Demis Hassabis, had inked discovery collaboration deals with both Lilly and Novartis was just the latest indication that AI-enabled pharma R&D was ready for the big time. Billions of dollars have been invested in companies promising to “revolutionise pharma R&D” through the application of artificial intelligence – but it is now clear that global pharma companies, and not ju

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Does Federally Funded Research Justify A Piece Of Pharma’s Profits?

Forbes: Drug Truths

The thought that all drugs arise from government funded research is a fallacy.

Research 222
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Evaluating the potential for psilocybin as a treatment for post-traumatic stress disorder [Minireview]

ASPET

Post-traumatic stress disorder (PTSD) is a debilitating psychiatric condition that develops following exposure to a traumatic event. Individuals with this condition experience numerous physiological and behavioral alterations, including intrusive memories, avoidance of trauma-related stimuli, heightened anxiety, hypervigilance, impaired cognition, elevated resting heart rate and blood pressure, and altered neuroendocrine function, to name a few.

Treatment 189
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Curcumin affects apoptosis of colorectal cancer cells through ATF6?mediated endoplasmic reticulum stress

Chemical Biology and Drug Design

Curcumin activates ATF6-regulated endoplasmic reticulum (ER) stress, promotes ATF6 nuclear translocation, activates Chop/Bax/Bcl-2/Caspase-3 apoptosis pathway, and promotes apoptosis of CRC cells. Abstract Colorectal cancer (CRC) is the main cause of cancer-associated death. Herein, we treated SW620 and HT-29 CRC cells with different curcumin concentrations, followed by treatment with the half maximal inhibitory concentration (IC50) curcumin/endoplasmic reticulum stress (ERS) inhibitor 4-phenyl

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Deliver Fast, Flexible Clinical Trial Insights with Spotfire

Clinical research has entered a new era, one that requires real-time analytics and visualization to allow trial leaders to work collaboratively and to develop, at the click of a mouse, deep insights that enable proactive study management. Learn how Revvity Signals helps drug developers deliver clinical trial data insights in real-time using a fast and flexible data and analytics platform to empower data-driven decision-making.

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Prime editing efficiently corrects cystic fibrosis mutation in human lung cells

Broad Institute

Prime editing efficiently corrects cystic fibrosis mutation in human lung cells By Allessandra DiCorato July 10, 2024 Breadcrumb Home Prime editing efficiently corrects cystic fibrosis mutation in human lung cells The approach targets the most common genetic cause of the disease and could enable a one-time treatment as effective as existing daily therapies.

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The science of ageing and restoring healthspan

Drug Target Review

What is “healthspan” and how does it relate to Life Bioscience’s mission? It is no mystery that as we age our health starts to deteriorate, and we become increasingly susceptible to diseases. If we take into consideration the timeframe of our lives, our “healthspan” is defined as the number of healthy years we live, which is different than our lifespan, the number of years of life.

Science 145
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Virus that threatened humanity opens the future

Science Daily: Pharmacology News

Scientists have developed an innovative therapeutic platform by mimicking the intricate structures of viruses using artificial intelligence (AI).

Virus 134
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Wave sees RNA editing validation in early trial results

BioPharma Drive: Drug Pricing

The results provide the first clinical evidence of RNA editing, a burgeoning field that's drawn interest from biotechs and pharmaceutical companies alike.

RNA 143
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Clinical Data Like You´ve Never Seen It Before: Why Spotfire Is the Leading Tool for Clinical Analytics

Clinical development organizations face a wide array of challenges when it comes to data, many of which can impact the operational effectiveness of their clinical trials. In this whitepaper, experts from Revvity Signals explore how solutions like TIBCO® Spotfire® enable better, more streamlined studies. The whitepaper also features a success story from Ambrx, a leading biopharmaceutical company, detailing how it has leveraged Spotfire to tackle data quality and collaboration challenges in clinic

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In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics

Nvidia Developer: Drug Discovery

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range. Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range of diseases, from cancer to autoimmune disorders.

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Models of Life

Codon

2024 Statistical models of organisms have existed for decades. The earliest ones relied on simple linear regression and attempted to correlate genetic variations with observable traits or disease risks — such as drug metabolization rates or cancer susceptibility. As computational power increased and machine learning techniques advanced, the models’ sophistication grew.

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FDA Approves First Generic of GLP-1 Receptor Agonist Victoza (liraglutide injection) to Lower Blood Sugar in Patients with Type 2 Diabetes

Drugs.com

December 23, 2024 -- Today, the U.S. Food and Drug Administration approved the first generic referencing Victoza (liraglutide injection) 18 milligram/3 milliliter, a glucagon-like peptide-1 (GLP-1) receptor agonist indicated to improve glycemic.

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AI in Drug Discovery - A Highly Opinionated Literature Review (Part II)

Practical Cheminformatics

Picking up where we left off in Part I , this post covers several other ML in drug discovery topics that interested me in 2023. Some areas, like large language models, are new, and most of the work is at the proof-of-concept stage. Others, like active learning, are more mature, and several groups are starting to explore nuances of the methods. Here’s the structure of Part II. 4.

Drugs 141
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Will Biopharma Companies Shun Vaccine R&D In A New Pandemic?

Forbes: Drug Truths

Only biopharma could have combated Covid-19; no other industry has the capacity to do so. When the world was in crisis, this industry responded. If need be, it will again, despite the financial consequences.

Vaccine 214
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Cannabis and Cannabinoid Signaling: Research Gaps and Opportunities [Commentary]

ASPET

Cannabis and its products have been used for centuries for both medicinal and recreational purposes. The recent widespread legalization of cannabis has vastly expanded its use in the United States across all demographics except for adolescents. Meanwhile decades of research have advanced our knowledge of cannabis pharmacology and particularly of the endocannabinoid system with which the components of cannabis interact.

Research 189
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Keypoint Newsletter: Introducing the New Fellows Class of 2025

keypoint

Meet the Keystone Symposia Fellows Class of 2025, a stellar group of post-doctoral fellows and early-career scientists who will take part in this prestigious mentorship program.

Doctors 123
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Some CRISPR screens may be missing cancer drug targets

Broad Institute

Some CRISPR screens may be missing cancer drug targets By Allessandra DiCorato June 14, 2024 Breadcrumb Home Some CRISPR screens may be missing cancer drug targets Current CRISPR guides don’t work equally well in cells from people of all ancestries, which could lead to false negative results. By Allessandra DiCorato June 14, 2024 Credit: Ricardo Job-Reese, Broad Communications CRISPR/Cas9 gene editing has made possible a multitude of biomedical experiments including studies that systematically t

Drugs 145
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Nobel Prize celebrates AI’s role in protein structure innovation

Drug Target Review

The 2024 Nobel Prize in Chemistry was awarded to Demis Hassabis and John Jumper from Google DeepMind for developing AlphaFold2, and to David Baker from the University of Washington for his work in computational protein design. These innovations have revolutionised the understanding of protein structures using artificial intelligence. Before AlphaFold, determining 3D protein structures was complex and time-consuming, and often required the use of experimental methods like X-ray crystallography an

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Moderate coffee and caffeine consumption is associated with lower risk of developing multiple cardiometabolic diseases, new study finds

Science Daily: Pharmacology News

Consuming moderate amounts of coffee and caffeine regularly may offer a protective effect against developing multiple cardiometabolic diseases, including type 2 diabetes, coronary heart disease and stroke, according to new research.

Disease 144
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RNA editing: emerging from CRISPR’s shadow

BioPharma Drive: Drug Pricing

Early study data from Wave Life Sciences suggests how editing RNA may yield viable medicines. Large and small drugmakers say such results are just the start.

RNA 141
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Sentiment & Themes Emerging From JPM 2024

LifeSciVC

By Aimee Raleigh, Principal at Atlas Venture, as part of the From The Trenches feature of LifeSciVC Just in time for new years’ reflections and resolutions, this year’s JPM felt like a refreshing burst of enthusiasm for a sector that has seen its challenges in 2022 and 2023 but also some green shoots. 2023 was a stellar year for M&A, comeback stories, burgeoning “hot” spaces, and for re-learning the basics of belt-tightening and careful capital allocation.

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Where's the Synthetic Blood?

Codon

Dr. Keith Neeves gives a history of blood transfusions and explains why it will be difficult to scale up the creation of synthetic blood for Issue 03 of Asimov Press. We are mostly blood. Of the 36 trillion cells in the human body, 32 trillion are blood cells. These blood cells synchronize the delivery of oxygen to every tissue in your body, fight pathogens, and heal wounds.

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Diabetes Meds Metformin, GLP-1s Can Also Curb Asthma

Drugs.com

MONDAY, Nov. 18, 2024 -- Drugs already taken by millions of diabetes patients appear to also help slash asthma attacks by up to 70%, new British research shows.The two drugs are metformin, one of the most widely used diabetes medications, and the.

Research 130
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AI in Drug Discovery - A Highly Opinionated Literature Review (Part III)

Practical Cheminformatics

Following up on Part I and Part II, the third post in this series is a collection of review articles published in 2023 that I found helpful.