Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
New research examines the application of online learning to workforce education.
Mathematical analysis suggests that preventing large gatherings could significantly reduce Covid-19 infection rates.
The instrument could bring powerful sensing and imaging capabilities out of the lab and into hospitals, airports, or other settings.
New approach could spark an era of battery-free ocean exploration, with applications ranging from marine conservation to aquaculture.
Davis, in conversation with Senior Associate Dean Blanche Staton, fields questions from the MIT community about the current moment of racial reckoning.
Discovery could lead to new designs for improved and more sustainable materials inspired by nature.
Professor and mentor for more than 20 years at MIT redefined scientists’ understanding of the biology of cell division and proliferation.
Results might provide a convenient screening tool for people who may not suspect they are infected.
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware.
Award cites major contributions to statistical analysis of brain activity and advancing the neuroscience of anesthesia.
A search committee chaired by Institute Professor Phillip Sharp will work to identify a new director for MIT’s pioneering cancer research center.
Immuneering uses bioinformatics to develop new medicines while also helping large pharmaceutical companies improve their treatments.