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Researchers use generative AI to create bacteria-killing peptides from scratch, matching approved drugs in tests and offering hope against antibiotic resistance.

A user-friendly AI method generates custom proteins to control biological interactions, making advanced binder discovery accessible without needing vast screening or expert computing skills.

A new tool from Google cracks a decade-long puzzle about antibiotic-resistant germs, surprising scientists with fast and fresh ideas.

Columbia University researchers show how brain signals can guide a device to amplify chosen conversations while reducing others in real time.

MIT researchers built a small language model with visual feedback to turn simple biological names into printable three-dimensional structures.

Researchers create a robust system using short charging data and chemical models to extend battery life and enhance safety in electric vehicles.

DuctGPT combines physics modeling and conversational artificial intelligence to rapidly predict alloys suitable for the extreme conditions in fusion reactors.

Researchers use a new technique to reveal how protein prediction tools make decisions, improving choices for drug and vaccine development while uncovering hidden biological details.

MIT chemists have found a new way to predict 3D genomic structures using AI, which is much faster than old methods.

AI creates effective drug candidates by analyzing only the target protein's structure, potentially reducing costs and time in developing treatments for diseases like cancer.