An Artificial Intelligence (AI) model integrating multiscale foundation model histopathology representations with molecular and clinical features predicts early and late distant recurrence in TAILORx
Year: 2026
Type: article
Source: UNC Libraries
DOI: 10.17615/nn1s-z440
Authors: Dees, Elizabeth C., Bales, Casey, Saphner, Thomas J., Helmstetter, Anthony, Rahman, Md Ashequr, Makower, Della F., Sparano, Joseph A., Spetzler, David, Shao, Sisi, Wolmark, Norman, Radovich, Milan, Sledge, George W., Badve, Sunil S., Chen, Ming, Albain, Kathy S., Olson, John A., Goetz, Matthew P., Cheng, Yating, Hayes, Daniel F., Amidi, Eghbal, Hinton, Andrew, Wang, Victoria, Oberley, Matthew, Lama, Norsang, Geyer, Charles E., Kaklaman, Virginia G., Gray, Robert J., Whelan, Timothy J., Mamounas, Eleftherios P.
Institution: University of North Carolina at Chapel Hill
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203917894
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