An Artificial Intelligence (AI) model integrating multiscale foundation model histopathology representations with molecular and clinical features predicts early and late distant recurrence in TAILORx

npj Breast Cancer · Published 2026-08-05 · DOI 10.1038/s41523-026-01022-y

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Authors (29)

Joseph A. Sparano, Norsang Lama, Robert J. Gray, Md Ashequr Rahman, Victoria Wang, Della F. Makower, Yating Cheng, Sisi Shao, Kathy S. Albain, Eghbal Amidi, Ming Chen, Daniel F. Hayes, Anthony Helmstetter, Charles E. Geyer, Casey Bales, Andrew Hinton, Elizabeth C. Dees, Matthew P. Goetz, John A. Olson, Sunil S. Badve, Thomas J. Saphner, Timothy J. Whelan, Virginia G. Kaklaman, Matthew Oberley, Milan Radovich, David Spetzler, Eleftherios P. Mamounas, Norman Wolmark, George W. Sledge

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Publication details

Year

2026

Citation

Sparano, J., Lama, N., Gray, R., et al. (2026). An Artificial Intelligence (AI) model integrating multiscale foundation model histopathology representations with molecular and clinical features predicts early and late distant recurrence in TAILORx. npj Breast Cancer. https://doi.org/10.1038/s41523-026-01022-y

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