MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
The award is given annually to an outstanding contributor to education from among the faculty members who are being proposed for promotion to associate professor without tenure.
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.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Tuesday, February 3, 2026 4:00 – 5:00 pm (refreshments at 3:30 pm) Broad Institute Auditorium (415 Main St., Cambridge, MA 02142) and virtually at broad.io/ewsc 📅 Add to calendar ✍️ Learn more and register…
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
Co-founded by an EECS alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
🥳 You’re invited – please join us on Friday, October 17 for our MIA 10-Year Anniversary Celebration! 📅 Friday, October 17 📍 Broad Institute – 300 Binney St. (2110 – Charles) ✍️ Register…
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.