Yan Leyfman: New breakthrough in AI + Pathology
Yan Leyfman, Co-Founder and Executive Director at MedNews Week, shared on LinkedIn about a recent paper by Gabriele Campanella et al. published in Nature:
“New breakthrough in AI + Pathology:
A computational biomarker trained on >8,000 digital H&E slides now detects EGFR mutations in lung adenocarcinoma with clinical-grade accuracy (AUC up to 0.89)!
- Preserves tissue
- Reduces need for rapid molecular tests by 43%
- Generalizes across centers + metastatic sites
This prospective, real-world study shows how AI can enhance precision oncology while conserving critical biopsy samples.
Powered by fine-tuned foundation models
Clinical utility proven in silent trial.”
Title: Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection
Authors: Gabriele Campanella, Neeraj Kumar, Swaraj Nanda, Siddharth Singi, Eugene Fluder, Ricky Kwan, Silke Muehlstedt, Nicole Pfarr, Peter J. Schüffler, Ida Häggström, Noora Neittaanmäki, Levent M. Akyürek, Alina Basnet, Tamara Jamaspishvili, Michel R. Nasr, Matthew M. Croken, Fred R. Hirsch, Arielle Elkrief, Helena Yu, Orly Ardon, Gregory M. Goldgof, Meera Hameed, Jane Houldsworth, Maria Arcila, Thomas J. Fuchs and Chad Vanderbilt
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