Two MIT faculty members named 2026 Pew Biomedical Scholars
Cell biologist Whitney Henry and immunologist Harikesh Wong will receive four years of flexible funding to advance early-career research on ferroptosis and immune decision-making.
Cell biologist Whitney Henry and immunologist Harikesh Wong will receive four years of flexible funding to advance early-career research on ferroptosis and immune decision-making.
“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.
Researchers developed an optical nanosensor to rapidly detect a key gut biomarker, enabling faster, accessible screening.
MIT researchers have designed an ultrasound system that creates a real-time 3D representation of the object being imaged.
Researchers can now use custom-built microscopy and nanotechnology to tag and follow the activity of individual proteins in real-time.
The MIT Marble Center for Cancer Nanomedicine looks back at 10 years of turning big ideas about nanotechnology into transformative advances for cancer patients.
Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
Mitali Chowdhury ’24 and Christina Kim ’24 will pursue graduate studies at Cambridge University in the UK.
Study finds a common bacterium can suppress the body’s early warning system in wounds, causing infections to persist and create an environment that allows other bacteria to take hold.
A new biohybrid system developed at MIT is the first living implant that uses rewired nerves to revive paralyzed organs.
An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.
Anthropologist Amy Moran-Thomas studies overlooked insights from people health care is meant to reach.
Tsai, who has grown the MIT neuroscience institute, will increase focus on research including Alzheimer’s disease and Down syndrome.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.