Kerry Grens May 18, 2014 An algorithm can pick out biologically and clinically meaningful variants from whole-exome sequences of tumors. Eliezer Van Allen, instructor in medicine at the Dana-Farber Cancer Institute, is the lead author of the study. Read full article
Researchers Discover Bias in AI Models That Analyze Pathology Samples December 16, 2025 The team created a new tool that reduces bias and improves cancer diagnosis across populations
New Artificial Intelligence Model Could Speed Rare Disease Diagnosis November 24, 2025 PopEVE can identify genetic variants most likely to cause severe disease, death
Gordon Freeman, Arlene Sharpe Receive Inaugural Gretener-Thürlemann Prize December 4, 2025 $625,000 prize recognizes breakthrough research into cancer immunotherapy
