Academic profile and media kit. Official biographies, photographs, affiliations, disclosures, funding information, and curriculum vitae for academic, professional, and editorial use.
Last updated: 27 July 2026. For a full publication list see PubMed or Google Scholar.
Jakob Nikolas Kather is Professor of Clinical Artificial Intelligence at TU Dresden and senior physician in Medical Oncology at the National Center for Tumor Diseases (NCT/UCC) Dresden. He is a board-certified medical oncologist and develops AI methods for cancer diagnostics, biomarker discovery, and autonomous clinical agents.
Jakob Nikolas Kather is Professor of Clinical Artificial Intelligence at TU Dresden, where he holds a joint appointment between the Faculty of Computer Science and the Faculty of Medicine, and serves as senior physician in Medical Oncology at the National Center for Tumor Diseases (NCT/UCC) Dresden.
His research focuses on the development of artificial intelligence methods for clinical oncology, with an emphasis on AI-based biomarkers from histopathology, swarm learning, and autonomous clinical AI agents. He is the principal investigator of the ERC Starting Grant NADIR and leads research projects funded by the European Union, the German Cancer Aid, and the Federal Ministry of Education and Research.
He has authored more than 300 peer-reviewed publications and has received the Felix Burda Award, the Thannhauser Prize, and the Heinz Maier-Leibnitz Prize.
Prof. Dr. med. Jakob Nikolas Kather, MSc, holds a W3 Professorship in Clinical Artificial Intelligence at TU Dresden, jointly appointed between the Faculty of Computer Science and the Faculty of Medicine and affiliated with the Else Kröner Fresenius Center for Digital Health. He serves as senior physician (Oberarzt) in Medical Oncology at the National Center for Tumor Diseases (NCT/UCC) Dresden and is board-certified in internal medicine.
He studied medicine in Heidelberg and Mannheim, where he completed his doctoral thesis summa cum laude on tumor angiogenesis, and obtained a Master of Science in Medical Physics. He held postdoctoral positions at the German Cancer Research Center (DKFZ) and a Junior Professorship at RWTH Aachen University before being appointed to his current chair in Dresden.
His research program develops artificial intelligence for clinical oncology along three main directions: AI-based biomarkers from histopathology, including the demonstration of microsatellite instability prediction directly from H&E slides; swarm learning and explainable AI for distributed medical research; and autonomous AI agents for clinical workflows. He is the principal investigator of the ERC Starting Grant NADIR and leads grants from EU Horizon Europe, the German Cancer Aid, and the BMBF.
He has authored more than 300 peer-reviewed publications, including papers in Nature Medicine, Nature Cancer, and The Lancet, and is the author of the German textbook „KI in der Medizin“ (Springer). He serves as Co-Chair of the ESMO AI and Digital Oncology Committee, AI series editor at Annals of Oncology, deputy editor at npj Precision Oncology, and editorial consultant for The Lancet. He has received the Felix Burda Award (2025), the Thannhauser Prize (2022), the Heinz Maier-Leibnitz Prize (2021), and the Theodor Frerichs Prize (2020).
1. Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany 2. Department of Medicine I, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany 3. Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany 4. Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
JNK holds shares in StratifAI, Synagen, Spira Labs, Tremont AI, and Saterra AI; is Co-PI on institutional research grants from GSK and AstraZeneca, and declares honoraria or consulting fees from AstraZeneca, Bayer, Bioptimus, Daiichi Sankyo, Eisai, Janssen, Merck, MSD, Novartis, BMS, Roche, and Pfizer.
Updated: May 3, 2026
JNK is supported by the German Cancer Aid DKH (DECADE, 70115166), the German Federal Ministry of Research, Technology and Space BMFTR (PEARL, 01KD2104C; CAMINO, 01EO2101; TRANSFORM LIVER, 031L0312A; TANGERINE, 01KT2302 through ERA-NET Transcan; Come2Data, 16DKZ2044A; DEEP-HCC, 031L0315A; DECIPHER-M, 01KD2420A; NextBIG, 01ZU2402A; PROSURV, 01KD2509C), the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) as part of Germany's Excellence Strategy – EXC 2050/2 – Project ID 390696704 – Cluster of Excellence "Centre for Tactile Internet with Human-in-the-Loop" (CeTI) of Technische Universität Dresden, as well as through DFG-funded collaborative research projects (TRR 412/1, 535081457; SFB 1709/1 2025, 533056198), the German Academic Exchange Service DAAD (SECAI, 57616814), the German Federal Joint Committee G-BA (TransplantKI, 01VSF21048), the European Union EU's Horizon Europe research and innovation programme (ODELIA, 101057091; GENIAL, 101096312), the European Research Council ERC (NADIR, 101114631), the Breast Cancer Research Foundation (BELLADONNA, BCRF-25-225) and the National Institute for Health and Care Research NIHR (Leeds Biomedical Research Centre, NIHR203331). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. This work was funded by the European Union. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
Updated: January 15, 2026
For invitations, interview requests, photo and logo files, or further information, please write to kather.jn@tu-dresden.de .