SMART researchers develop 15-minute immune-profiling assay
Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.
Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.
Celebrating 20 remarkable years, MIT OCW looks to the future, informed by learning needs underscored by the Covid-19 pandemic.
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes.
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.
Sidney Pacific residents empower each other to sustain community togetherness.
Senior Alberto Naveira has found himself and his community as a member of the a cappella group the Chorallaries.
Daniel Hastings and Tracy Gabridge share their experiences as co-chairs of MIT’s Values Statement Committee.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
MIT biology professor and pioneering researcher of cancer cell metabolism will succeed longtime director Tyler Jacks.
International study reveals gut bacteria from people in industrialized societies swap genes at much higher rates.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.