Medicine
Medicine

Medicine

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MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.

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LLMs factor in unrelated information when recommending medical treatments

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.

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3 Questions: How to help students recognize potential bias in their AI datasets

Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.

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With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

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Study shows vision-language models can’t handle queries with negation words

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

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Q&A: A roadmap for revolutionizing health care through data-driven innovation

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

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Making AI models more trustworthy for high-stakes settings

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

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Novel method detects microbial contamination in cell cultures

Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.

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Could LLMs help design our next medicines and materials?

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

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MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease

ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.