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.
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.
Tiny organisms, huge implications for people
A new book by Thomas Levenson examines how germ theory arose, launched modern medicine, and helped us limit fatal infectious diseases.
Once-a-week pill for schizophrenia shows promise in clinical trials
The ingestible capsule forms a drug depot in the stomach, gradually releasing its payload and eliminating the need for patients to take medicine every day.
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.
Scientists discover potential new targets for Alzheimer’s drugs
Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.
Study in India shows several tactics together boost vaccination against deadly diseases
One combination of methods led to a 44 percent increase in child immunizations.
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.
Particles carrying multiple vaccine doses could reduce the need for follow-up shots
MIT engineers designed polymer microparticles that can deliver vaccines at predetermined times after injection.
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.
Biologists identify targets for new pancreatic cancer treatments
Their study yielded hundreds of “cryptic” peptides that are found only on pancreatic tumor cells and could be targeted by vaccines or engineered T cells.
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.
New molecular label could lead to simpler, faster tuberculosis tests
MIT chemists found a way to identify a complex sugar molecule in the cell walls of Mycobacterium tuberculosis, the world’s deadliest pathogen.
Study of facial bacteria could lead to probiotics that promote healthy skin
During the early teen years, many new strains of C. acnes colonize the skin on our faces. This could be an optimal time for probiotic treatment.
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.