A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
When coated onto plastic tubing, the catalysts could act on chemicals flowing through, helping to synthesize drugs and other compounds.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
The machine-learning model could help scientists speed the development of new medicines.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
Corporate innovation leaders at Bayer engage MIT Sloan Executive Education in a transformational data science and intrapreneurship program.
Public-private partnership aims to advance development and production of medical treatments.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
Chemical engineers have found a way to load more drug into a tablet, which could then be made smaller and easier to swallow.