Machine learning finds tumor gene variants and sensitivity to drugs in The Cancer Genome Atlas

Matching unique genetic information from cancer patients’ tumors with treatment options — an emerging area of precision medicine efforts — often fails to identify all patients who may respond to certain therapies. Other molecular information from patients may reveal these so-called ‘hidden responders.’