Beacon Biosignals is mapping the brain during sleep
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.
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.
Economists find that in metro areas with more immigration, nurses are spending more time with elderly patients.
MIT researchers leveraged a surprise discovery to devise a faster and more precise biomedical imaging technique.
Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
Anthropologist Amy Moran-Thomas studies overlooked insights from people health care is meant to reach.
MIT senior Srihitha Dasari reflects on the power of experiential learning through the PKG Center for Social Impact.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
By showing the problem derives from genetic mutations that lead to overexpression of a microRNA, MIT researchers’ study points to potential treatment.
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.
In STS.059 (The Bioeconomy and Society), students explore the social and political factors at work in the biology, biotech, and biological engineering sectors.
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
WITEC is working to develop the first wearable ultrasound imaging system to monitor chronic conditions in real-time, with the goal of enabling earlier detection and timely intervention.
The new system could be used at home or in doctors’ offices to scan people who are at high risk for breast cancer.
New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.