AI model identifies certain breast tumor stages likely to progress to invasive cancer
The model, co-developed by SDSC faculty Caroline Uhler, could help clinicians assess breast cancer stage and ultimately help in reducing overtrea...
How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique from researchers including SDSC faculty Navid Azizan enables users to compare several large models and choose the one that works ...
AI method radically speeds predictions of materials’ thermal properties
Approach developed by team including SDSC faculty Tommi Jaakkola could help engineers design more efficient energy-conversion systems and faster ...
Tamara Broderick and Caroline Uhler awarded IMS Fellowships
IDSS faculty elected to the Institute of Mathematical Statistics Fellowship for their outstanding research and professional contributions.
MIT Industrial Liason Program: featuring Themistoklis Sapsis
SDSC faculty Themistoklis Sapsis discusses his research work, motivated by problems in ocean engineering.
