A noninvasive test to detect cancer cells and pinpoint their location
Diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
Diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
Eight faculty members have been granted tenure in five departments across the MIT School of Engineering.
The sensor technology could also be used to create clothing that detects a variety of pathogens and other threats.
Selective global honor supports early-career scientists and engineers in taking on new pursuits.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Machine learning software advances could help anesthesiologists optimize drug dose.
Simultaneous measurement of neural rhythms and spikes across five brain areas reveals how propofol induces unconsciousness.
The two chemical engineers are awarded MIT’s highest faculty honor.
Design of miniature optical systems could lead to future cell phones that can detect viruses and more.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Five courses celebrate the nanoscale, highlight technologies in photogrammetry and 360-degree videography.