U.S. Medical Centers Need a New Model for Drug Discovery and Development
China’s faster, more efficient model is forcing U.S. competitors to rethink how they innovate.
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Drug discovery
AI maps how a new antibiotic targets gut bacteria
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Read MoreResearchers glimpse the inner workings of protein language models
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Read MoreHow AI could speed the development of RNA vaccines and other RNA therapies
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Read MoreNew machine-learning application to help researchers predict chemical properties
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
Read MoreA new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Read MoreToward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
Read MoreA new computational model can predict antibody structures more accurately
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
Read MoreWhen MIT’s interdisciplinary NEET program is a perfect fit
Junior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.
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