Automating artificial intelligence for medical decision-making
Model replaces the laborious process of annotating massive patient datasets by hand.
Model replaces the laborious process of annotating massive patient datasets by hand.
Gel cushion used to elevate polyps during endoscopy could reduce the risk of tearing the colon lining.
Noninvasive device could benefit patients with kidney disease, congestive heart failure, or dehydration.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
Crystallized drug prevents immune system rejection of transplanted pancreatic islet cells.
Study may be a step toward shelf-stable versions of the hormone, which is used to control diabetes.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Techniques could lead to personalized wearable and implantable devices.
Compound that knocks out a DNA repair pathway enhances cisplatin treatment and helps prevent drug-resistance.
Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Seven finalist teams pitched their business ideas at the Rabobank-MIT Food and Agribusiness Innovation Prize competition.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.