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Abstract PS2-07-29: Digital Histology Models Predict Chemotherapy Benefit in Randomized Adjuvant Trials and Real-World Cohorts

Year: 2026

Type: conference-abstract

Source: Clinical Cancer Research

DOI: 10.1158/1557-3265.sabcs25-ps2-07-29

Authors: F. M. Howard, S. Kochanny, A. Li, S. Hassan, J. Dolezal, E. M. Flores, R. Medenwald, C. Fan, M. Watson, L. McCart, L. R. Teras, C. Bodelon, A. V. Patel, W. F. Symmans, D. Stover, C. Perou, M. Sullivan, K. Yao, A. T. Pearson, D. Huo

Institutions: University of Chicago, Geisinger Medical Center, Ingalls Memorial Hospital, Endeavor Health, UNC Lineberger Comprehensive Cancer Center, The Ohio State University, American Cancer Society, The University of Texas MD Anderson Cancer Center

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7130695221

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