Detecting FGFR3-mutant muscle-invasive and metastatic urothelial cancers (MIBC/mUC) for targeted therapy remains challenging, but clinically important. Here, the authors develop a deep-learning model to detect FGFR3 mutations in MIBC/mUC from routine histopathology slides, allowing for highly sensitive, rapid, and cost-effective pre-screening.
- Pierre-Antoine Bannier
- Charlie Saillard
- Markus Eckstein
