🧬 Over the past few years Tencent has gone deep on AI for Life Science. We've built single-cell models, AI-designed antibodies, and now cell-level drug prediction. Today we share one of our latest results: UniPert-G2CP, a two-stage framework (published in Cell) that predicts how a drug molecule affects a specific cell, trained and evaluated on 4,994 genes × 7,860 compounds across 5 cancer cell lines. I'm not a specialist, so here comes the easy version: the same drug can work very differently across genetic backgrounds and cell types. Prior research mostly worked at the molecular level, but our result gives AI the ability to predict how a drug molecule affects a cell. For the real mechanics, the full Cell paper is here👀: We'd love your takes