Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.

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Title: Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.
Authors: Reitsam NG; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Jiang X; Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of PR China (UESTC), Chengdu, PR China., Liang J; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, PR China., Grosser B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Institute of Pathology, Technical University of Munich, Munich, Germany., Grozdanov V; Department of Neurology, Ulm University, Ulm, Germany., Loeffler CM; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany., Gustav M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Lenz T; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Muti HS; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.; Department for Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., West NP; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK., Quirke P; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK., Foersch S; Institute of Pathology, University Medical Center, Mainz, Germany., Jesinghaus M; Institute of Pathology, Philipps University Marburg and University Hospital Marburg, Marburg, Germany., Müller W; Pathologie Starnberg, Starnberg, Germany., Yuan T; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany., Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany., Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Cancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Jonnagaddala J; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia., Hawkins NJ; School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia., Ward RL; Monash University, Melbourne, Australia., Grabsch HI; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Department of Pathology, GROW - Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands., Märkl B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Medical Oncology, National Center for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.
Source: The Journal of pathology [J Pathol] 2026 May; Vol. 269 (1), pp. 112-124. Date of Electronic Publication: 2026 Feb 20.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley And Sons Country of Publication: England NLM ID: 0204634 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9896 (Electronic) Linking ISSN: 00223417 NLM ISO Abbreviation: J Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1096-9896
DOI:10.1002/path.70039