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Tag: Boltz

One Survivor’s AI Breakthrough Predicts Cancer Years Ahead

AI Decoded focusses on one of the most urgent, tangible uses of artificial intelligence: health care — we speak to Dr Regina Barzilay, an MIT professor who is building machine-learning AI models to predict disease. She herself was diagnosed with breast cancer in 2014, and has used that experience and knowledge to target her research towards prevention — the AI model she and her team built, named MIRAI, is now able to detect a patient’s risk of developing breast cancer within five years. Are we on the brink of a revolution in treating cancer for everyone? Find out on AI Decoded... Joining presenter Christian Fraser is AI Decoded co-host Stephanie Hare and the BBC's AI correspondent Marc Cieslak Learn more

Meet the newest Forbes 30 under 30

Gabriele Corso was a computer science PhD student at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), where his research focused on the intersection of machine learning and molecular biology. His cofounder Saro Passaro was also a research scientist at MIT and previously worked at Meta. The two have trained AI models for predicting biomolecular structures and how molecules interact within the body, which could eventually help with drug discovery. Used by thousands of global organizations and downloaded more than 1M times, these open source models are the basis for Boltz, a company Corso and Passaro cofounded with Jeremy Wohlwend to improve therapeutic design using AI. Learn more

MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days prior. Learn more
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