Westlake University AI virtual-cell model predicts drug response in triple-negative breast cancer
Researchers at Westlake University built an AI-based 'virtual cell model' trained on over 38 million protein measurements from breast cancer cell lines, most of them triple-negative. Tested on real patient biopsies, the model successfully identified which drugs would be effective against individual tumours, matching actual clinical outcomes. The findings, published in Nature, mark the first time such a virtual cell model has moved from lab experiments to clinical testing.