An AI map spots the liver cancers least likely to respond — and a pairing that works on them

A team led by Joong Sup Shim at the University of Macau, working with partners in South Korea and at Harvard Medical School, has untangled one of liver cancer's toughest puzzles. When a protective gene called RB1 is switched off, tumours turn more aggressive and harder to treat — and the team built an artificial-intelligence tool that can spot those patients quickly. Better still, those very tumours responded especially well to a specific combination treatment, giving doctors a matched answer for the patients who need one most. The work is published in the journal Signal Transduction and Targeted Therapy.

SDG 3 · Good health and well-being — Mechanism: tech innovation