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Software-driven health care: Joint HST class offers some clues

A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine. MIT professors David Sontag and Peter Szolovits don’t assign a textbook for their class, 6.S897HST.956 (Machine Learning for Healthcare), because there isn’t one. Instead, students read scientific papers, solve problem sets based on current topics like opioid…

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Yearlong hackathon engages nano community around health issues

Hacking Nanomedicine kicks off a series of events to develop an idea over time. A traditional hackathon focuses on computer science and programming, attracts coders in droves, and spans an entire weekend with three stages: problem definition, solution development, and business formation. Hacking Nanomedicine, however, recently brought together graduate and postgraduate students…

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Study furthers radically new view of gene control

Along the genome, proteins form liquid-like droplets that appear to boost the expression of particular genes. In recent years, MIT scientists have developed a new model for how key genes are controlled that suggests the cellular machinery that transcribes DNA into RNA forms specialized droplets called condensates. These droplets occur…

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