Blood cell family trees trace how production changes with aging
Jonathan Weissman and collaborators developed a tool to reconstruct human cell family trees, revealing how blood cell production changes in old age.
Jonathan Weissman and collaborators developed a tool to reconstruct human cell family trees, revealing how blood cell production changes in old age.
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
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.
Core-shell structures made of hydrogel could enable more efficient uptake in the body.
Driven by deeply personal experiences, three entrepreneurs find inspiration from MIT to empower patients and change their lives.
MIT researchers will partner on interdisciplinary research in human biology and disease.
An advanced closed-loop anesthesia delivery system that monitors brain state to tailor propofol dose and achieve exactly the desired level of unconsciousness could reduce post-op side effects.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Actuating grafts appears to turn on cell signals related to the growth of new blood vessels and nerves, a promising finding for restoring mobility in muscle lost through disease or trauma.
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.
Researchers can use the model to predict how engineered forms of insulin would perform in human patients, making it easier to bring these drugs to clinical trials.