Artificial intelligence model finds potential drug molecules a thousand times faster
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.
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.
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
Foams that incorporate small amounts of the gas could be delivered to the GI tract to combat colitis and other conditions.
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
A team of cognitive scientists and doctors finds that patients with aphasia use different cognitive tools to compensate for language deficits.
Institute Professor honored for groundbreaking work in nucleic acid delivery and nanoparticles.
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
Chih-Wei Joshua Liu ’22 is an aspiring physician-physicist working to unlock the secrets of thermodynamics in biology and medicine.
Tested using a new brain tissue model, the particles may be able to deliver chemotherapy drugs for glioblastoma.
Rapid and accurate analytical test method enhances the production of high-quality cell therapy products.
Mixing drugs into oil-based gels could offer relief for children and adults who have trouble swallowing pills.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
Have a question about numerical differential equations? Odds are this CSAIL research affiliate has already addressed it.
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.