Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
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.
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.
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.
Suono Bio, founded by two MIT professors and an alumnus, is using a proven technology to boost the treatment of gastrointestinal tract disorders.
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.
Alumni-founded Multiply Labs uses an automated manufacturing platform to produce advanced treatments at scale.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
Corning executive Mark Kurz SM ’95 leads a team producing vials for vaccine distribution.
Scalable CRISPRi system from SMART allows scientists to identify and tackle causes of E. faecalis-related diseases and drug resistance.
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.
SMART researchers find exposing bacteria to hydrogen sulfide can increase antimicrobial sensitivity in bacteria that do not produce H2S.