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The "hypometric genetics" approach uses these typically disregarded measurements to improve genetic discovery up to 2.8 times (Credit: The researchers).
CSAIL article

Research scientist Yosuke Tanigawa and Professor Manolis Kellis at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel methodology in human genetics to address an often-overlooked problem: how to handle clinical measurements that fall "below the limit of quantification" (BLQ). Recently published in the American Journal of Human Genetics, their new approach, "hypometric genetics," utilizes these typically discarded measurements to enhance genetic discovery, with significant implications for personalized genomic medicine and drug development.

AIxBio Pitch Event

This September, MIT Hacking Medicine is hosting the BioxAI Pitch Event. The event will be an opportunity to bring together budding entrepreneurs from various MIT departments, namely PhD students and postdocs, applying ML/AI to biological questions, with a focus on protein biology/drug discovery. For example, early stage founders will pitch for co-founders (max. 2min). Founders and individuals who want to join a team will likewise pitch themselves. This will be an opportunity to learn from guests within and outside MIT, including NSF, CSAIL Alliances, and the Martin Trust Center.

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A system developed by MIT CSAIL researchers can oversee a team of both human and AI agents, communicating with team members to align roles and accomplish a common goal (Credits: Alex Shipps/MIT CSAIL).
CSAIL article

On a research cruise around Hawaii in 2018, Yuening Zhang SM ’19, PhD ’24 saw how difficult it was to keep a tight ship. The careful coordination required to map underwater terrain could sometimes led to a stressful environment for team members, who might have different understandings of which tasks must be completed in spontaneously changing conditions. During these trips, Zhang considered how a robotic companion could have helped her and her crewmates achieve their goals more efficiently.