Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The effort aims to transform micronutrient dosing to children by harnessing the power of data.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.