By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

With the new technique, MIT researchers hope to identify mutations that could be targeted with new cancer therapies.

Whitehead Institute Member Jonathan Weissman and collaborators developed a tool to reconstruct human cell family trees, revealing how blood cell production changes in old age.

Using a DNA-based scaffold carrying viral proteins, researchers created a vaccine that provokes a strong antibody response against SARS-CoV-2.

The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.

MIT researchers can now track a cell’s RNA expression to investigate long-term processes like cancer progression or embryonic development.

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

BRAIN CONNECTS supports McGovern Institute and Department of Brain and Cognitive Sciences research aimed at mapping the brain’s connections.

MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.