AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.
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| Title: | AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial. |
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| Authors: | Medina S; The Wallace H. Coulter Department of Biomedical Engineering Atlanta United States., Tokuyama N; Emory University Atlanta United States., Putcha V; The Wallace H. Coulter Department of Biomedical Engineering Atlanta United States., Pathak T; Emory University Atlanta, Georgia United States., Fu P; Case Western Reserve University Cleveland, Ohio United States., Thomas H; The University of Sydney Camperdown, NSW Australia., Subhash VV; Australian and New Zealand Urogenital and Prostate Cancer Trials Group Sydney, NSW Australia., Yip S; The University of Sydney Sydney, NSW Australia., Lin HM; Garvan Institute of Medical Research Darlinghurst, NSW Australia., Horvath LG; Chris O'Brien Lifehouse Sydney, New South Wales Australia., Kench JG; Royal Prince Alfred Hospital Camperdown, NSW Australia., Zhang A; The University of Sydney Sydney, NSW Australia., Stockler MR; The University of Sydney Sydney, NSW Australia., Joshua AM; The Kinghorn Cancer Centre Darlinghurst, NSW Australia., Azad A; Peter MacCallum Cancer Centre Melbourne Australia., Oakes SR; Australian and New Zealand Urogenital and Prostate Cancer Trials Group Australia., Davis ID; Monash University Box Hill, Victoria Australia., Sweeney CJ; Adelaide University Adelaide, SA Australia., Madabhushi A; Emory University Atlanta, GA United States. |
| Source: | Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2026 Jun 26. Date of Electronic Publication: 2026 Jun 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9502500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-3265 (Electronic) Linking ISSN: 10780432 NLM ISO Abbreviation: Clin Cancer Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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