Circadian rhythms can influence drugs’ effectiveness
MIT researchers find circadian variations in liver function play an important role in how drugs are broken down in the body.
Preparing MIT’s campus for cardiac emergencies
A new program is equipping every campus building with an automated external defibrillator.
Growing our donated organ supply
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
Deciphering the cellular mechanisms behind ALS
Professor Ernest Fraenkel has decoded fundamental aspects of Huntington’s disease and glioblastoma, and is now using computation to better understand amyotrophic lateral sclerosis.
“This MIT Bootcamp shook everything upside down and has given me the spirit of innovation”
New MIT offering brings a multidisciplinary approach to tackling substance use disorder through biomedical device innovation.
Brain surgery training from an avatar
MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.
A new test could predict how heart attack patients will respond to mechanical pumps
Performing this test could help doctors prevent dysfunction that can occur when the right and left ventricles of the heart become imbalanced.
Scientists develop a low-cost device to make cell therapy safer
A plastic microfluidic chip can remove some risky cells that could potentially become tumors before they are implanted in a patient.
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.
What to do about AI in health?
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.
New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Inhalable sensors could enable early lung cancer detection
The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.
Improving patient safety using principles of aerospace engineering
A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.
MIT in the media: 2023 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.