Automating artificial intelligence for medical decision-making
Model replaces the laborious process of annotating massive patient datasets by hand.
Search Stories
New vaccine strategy boosts T-cell therapy
Super-charging a treatment for leukemia also makes it effective on solid tumors.
Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
A new approach to targeting tumors and tracking their spread
Researchers develop nanosized antibodies that home in on the meshwork of proteins surrounding cancer cells.
Imaging system helps surgeons remove tiny ovarian tumors
More effective surgery could boost survival rates for ovarian cancer.
“Nanofiber yarn” makes for stretchy, protective artificial tissue
Twisted fibers coated with living cells could assist healing of injured muscles and tendons.
Top collegiate inventors awarded 2019 Lemelson-MIT Student Prize
Students recognized for revolutionary solutions to women’s health, food waste, transportation, and mobility and communication for people with disabilities.
Using machine learning for medical solutions
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
From microfluidics to metastasis
New platform enables longitudinal studies of circulating tumor cells in mouse models of cancer.
Terahertz laser for sensing and imaging outperforms its predecessors
High-power, tunable design could be used for chemical detection in outer space, medical imaging, more.
Five MIT students named 2019 Marshall Scholars
Radha Mastandrea, Katie O’Nell, Anna Sappington, Kyle Swanson, and Crystal Winston will begin graduate studies in the UK next fall.
The long and short of CDK12
A new study linking RNA processing to DNA repair may open new avenues to cancer therapy.
Activating a new understanding of gene regulation
Study reveals the role of the activation domain, a part of transcription factors previously shrouded in mystery.
Cryptographic protocol enables greater collaboration in drug discovery
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.