Machine learning could improve treatment for intensive care patients
Associate Professor Barbara Engelhardt and Ph.D. students Li-Fang Cheng and Niranjani Prasad design a system that could both reduce the frequency of tests and improve the timing of critical treatments.
Researchers apply computing power to track the spread of cancer
Professor Ben Raphael's research group developed a new algorithm that tracks the spread of cancer cells from one part of the body to another.
From 'sea of mutations,' two possible cancer links rise to the surface
Professor Mona Singh's group has identified genetic mutations that frequently occur in people with uterine cancer, colorectal cancer or skin cancer.
In a tiny worm, a close-up view of where genes are working
Professor Olga Troyanskaya's research group develops a new tool to predict gene activity across 76 more specific cell types in the worm C. elegans.
