Health sciences and technology
Health sciences and technology

2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

How an archeological approach can help leverage biased data in AI to improve medicine

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

A. Michael West: Advancing human-robot interactions in health care

When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.

How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.

Joining the battle against health care bias

Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.