A leader in thermodynamics, heat transfer, cryopreservation of biomaterials, and energy conversion, Cravalho shaped thermodynamic and biomedical education at MIT.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
EECS Communication Lab teams up with MIT Libraries to broadcast free “Science Snippets” to the world.
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
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.