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  3. Supplementary Figure S9 from AI-Based Pathology Classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial
  1. Home
  2. Publications
  3. Supplementary Figure S9 from AI-Based Pathology Classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial

Supplementary Figure S9 from AI-Based Pathology Classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial

Authors:
  • SMSebastian Medina
    Sebastian Medina
  • NTNaoto Tokuyama
    Naoto Tokuyama
  • VPVaishnavi Putcha
    Vaishnavi Putcha
  • TPTilak Pathak
    Tilak Pathak
  • PFPingfu Fu
    Pingfu Fu
  • HTHayley Thomas
    Hayley Thomas
  • VSVinod V. Subhash
    Vinod V. Subhash
  • SYSonia Yip
    Sonia Yip
  • HLHui-Ming Lin
    Hui-Ming Lin
  • LHLisa G. Horvath
    Lisa G. Horvath
  • JKJames G. Kench
    James G. Kench
  • AZAlison Zhang
    Alison Zhang

Open Access
Publisher website
Google Scholar
  • 15 October 2026
    • other
    • Published by American Association for Cancer Research (AACR)
    • DOI:10.1158/1078-0432.34520033
Abstract
Baseline cytokine fold differences by APIC status for different subgroups
Keywords
  • BIOMARKERS
  • COMPUTATIONAL METHODS
  • ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
  • GENITOURINARY CANCERS
  • PROSTATE CANCER
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