3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
Cancer’s secret safety net
Researchers uncover a hidden mechanism that allows cancer to develop aggressive mutations.
Richard Hynes, a pioneer in the biology of cellular adhesion, dies at 81
Professor, mentor, and leader at MIT for more than 50 years shaped fundamental understandings of cell adhesion, the extracellular matrix, and molecular mechanisms of metastasis.
MIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
New study suggests a way to rejuvenate the immune system
Stimulating the liver to produce some of the signals of the thymus can reverse age-related declines in T-cell populations and enhance response to vaccination.
An improved way to detach cells from culture surfaces
The approach could transform large-scale biomanufacturing by enabling automated and contamination-conscious workflows for cell therapies, tissue engineering, and regenerative medicine.
A new way to understand and predict gene splicing
The KATMAP model, developed by researchers in the Department of Biology, can predict alternative cell splicing, which allows cells to create endless diversity from the same sets of genetic blueprints.
Matthew Shoulders named head of the Department of Chemistry
A leading researcher in protein folding biochemistry and next-generation protein engineering techniques will advance chemistry research and education.
New AI system could accelerate clinical research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
New gift expands mental illness studies at Poitras Center for Psychiatric Disorders Research
A commitment from longtime supporters Patricia and James Poitras ’63 initiates multidisciplinary efforts to understand and treat complex psychiatric disorders.
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
Scientists apply optical pooled CRISPR screening to identify potential new Ebola drug targets
Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
How to more efficiently study complex treatment interactions
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
New AI system uncovers hidden cell subtypes, boosts precision medicine
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.