
An AI model can accurately flag EGFR mutations in lung adenocarcinoma using routine pathology slides, reducing the need for rapid genetic tests.
Key Details
- 1Researchers from Mount Sinai, Memorial Sloan Kettering, and collaborators published results in Nature Medicine on July 9, 2025.
- 2The AI model predicts EGFR mutations from H&E-stained pathology slides of lung adenocarcinoma.
- 3A live 'silent trial' at Memorial Sloan Kettering showed the model could reduce rapid genetic testing by over 40%.
- 4The model was trained and validated on the largest multi-institutional dataset of matched slides and sequencing results from the US and Europe.
- 5Preserving tissue by avoiding unnecessary rapid tests allows for more comprehensive genomic sequencing.
- 6Work is ongoing to broaden the model's biomarker detection and deploy it in more healthcare settings.
Why It Matters

Source
EurekAlert
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