Virtual Cell - GoKawiil

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.

nature.com · 2026-09-09

Reference list details recent AI models for predicting cell behavior, not a new product launch

The provided text is a bibliography of academic papers and preprints on computational and AI-based approaches to modeling cells, including foundation models for single-cell biology, perturbation prediction, and optimal transport methods for tracking cellular dynamics. It compiles work from research groups building toward what scientists call a 'virtual cell'—computational systems that simulate how cells respond to genetic or chemical changes. No new announcement, product, or specific finding is presented; it is purely a citation list.

nature.com · 2026-09-09