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The latest drug discovery news from News Medical |
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 How AI and Automation Are Reshaping Discovery
Artificial intelligence, autonomous laboratories, and advanced DMTA workflows are transforming how new medicines are discovered. In this interview, TTP experts discuss the growing importance of high-quality experimental data, integrated automation, and physical AI systems that help accelerate decision-making, reduce inefficiencies, and improve drug discovery outcomes.
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| | | | |  RNA interference is a natural mechanism for living cells to control whether specific genes are being used or not. | | | | |  Parkinson's disease (PD) is the second most common form of neurodegenerative disease and afflicts more than ten million people worldwide. While current therapies address disease symptoms, they do not prevent the underlying neurodegeneration that drives the disease. | | | | |  A large real-world clinical trial has found that a generative AI-powered support tool used to support frontline clinicians was safe and improved the quality of clinical decision-making but did not significantly change short-term patient outcomes. | | | | |  Insilico Medicine, a leader in clinical-stage generative AI for drug discovery, today announced a strategic collaboration agreement with Takeda to use its proprietary end-to-end platform, Pharma.AI, to advance drug candidates across the company's therapeutic areas. | | | | |  In a major international effort to evaluate potential treatments for Ebola disease due to Bundibugyo virus (BVD), the PARTNERS clinical trial has opened enrolment today for patients in the Democratic Republic of the Congo. | | | | | __639191761355600124_multisizecolor_150_custom.jpg) Dr. Alex Aliper, Co-founder and President of Insilico Medicine, will attend the AI for Good Global Summit 2026 in Geneva, Switzerland, on July 7. | | | | |  G protein-coupled receptors (GPCRs) are the most abundantly expressed proteins in the human body, which regulate diverse physiological processes ranging from pain perception to hormone signaling. | | | | |  An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial design, one of the most difficult steps in drug development, according to a new study by Weill Cornell Medicine investigators. | |
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