Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

Professor Ernest Fraenkel has decoded fundamental aspects of Huntington’s disease and glioblastoma, and is now using computation to better understand amyotrophic lateral sclerosis.

Performing this test could help doctors prevent dysfunction that can occur when the right and left ventricles of the heart become imbalanced.

A plastic microfluidic chip can remove some risky cells that could potentially become tumors before they are implanted in a patient.

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.

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.

A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

MIT and MGH researchers design a local, gel-based drug-delivery platform that may provoke a system-wide immune response to metastatic tumors.