Image of Regina Barzilay typing on a laptop at a desk
Diagram of AI-driven antibiotic discovery

Antibiotic identified by AI

Computational approaches are emerging as powerful tools for the discovery of antibiotics. A study now uses machine learning to discover abaucin, a potent antibiotic that targets the bacterial pathogen Acinetobacter baumannii. Learn more
Five MIT faculty members are among the 12 MIT affiliates and 100 total new members of the National Academy of Medicine. Clockwise from top left: Daniel Anderson, Regina Barzilay, Guoping Feng, Morgan Sheng, and Darrell Irvine.
Illustration of a human hand reaching out to a digitally generated hand

AI’s Balance of Power

An inconspicuous box sits beside the Wi-Fi router, silently humming its own much-lower-energy radio waves through the house. The patient—who has a family history of Parkinson’s disease—makes dinner, watches TV, and falls asleep. Nothing amiss. Learn more
Image of acinetobacter baumannii

Using AI, scientists find a drug that could combat drug-resistant infections

The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings. Learn more
Illustration of a computer in a stone age setting

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. Learn more
Group of high school students posing for a group photo with MIT President Emerita Susan Hockfield

How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds. Learn more
Two side-by-side images of an MRI that has been motion-corrupted and one that has been motion-corrected
The San Francisco Experience podcast cover image

AI and Cardiovascular Medicine. In conversation with Professor, Dr. Collin Stultz

How AI is changing the manner in which cardiovascular illness is diagnosed. And the future is unfolding before us with new predictive analytics, remote monitoring and precision medicine. Dr. Stultz is both a Ph.D. in Computer Science as well as a Cardiologist and brings both fields of practice together in a unique fashion. Learn more
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