Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.
Saved in:
| Title: | Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study. |
|---|---|
| Authors: | Gustav M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., van Treeck M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., Reitsam NG; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., Loeffler CML; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., Rabasco Meneghetti A; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., Märkl B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Boardman LA; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA., French AJ; Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA., Goode EL; Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA., Gsur A; Center for Cancer Research, Medical University of Vienna, Vienna, Austria., Brezina S; Center for Cancer Research, Medical University of Vienna, Vienna, Austria., Gunter MJ; Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, Lyon, France; Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK., Murphy N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, WHO, Lyon, France., Hönscheid P; Institute of Pathology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany; National Center for Tumor Diseases, Partner Site Dresden, German Cancer Research Center Heidelberg, Dresden, Germany; German Cancer Consortium and German Cancer Research Center, Heidelberg, Germany., Sperling C; Institute of Pathology, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany., Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany., Steinfelder R; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA., Harrison T; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA., Peters U; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA., Phipps A; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany; Medical Oncology, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. Electronic address: jakob-nikolas.kather@alumni.dkfz.de. |
| Source: | The Lancet. Digital health [Lancet Digit Health] 2025 Aug; Vol. 7 (8), pp. 100891. Date of Electronic Publication: 2025 Aug 19. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
