Publications
2026
Large language models enable prognostic stratification of cancer patients using real-world clinical notes
Niklas Kiermeyer, Tim Lenfers, Amin Dada, Julian Friedrich, Sameh Khattab, Eric Knop, Jan Egger, Markus Pauly, Andreas Jung, Grégoire Montavon, Jens T. Siveke, Marcel Wiesweg, Stefan Kasper, Ulf Peter Neumann, Frederick Klauschen, Sylvia Hartmann, Martin Schuler, Philipp Keyl, Jens Kleesiek, Julius Keyl
PLOS Digital Health
Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Data
Julius Keyl, Philipp Keyl, Tim Lenfers, René Hosch, Niklas Kiermeyer, Simon Schallenberg, Moon-Sung Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Jan Egger, Sylvia Hartmann, Grégoire Montavon, Felix Nensa, Klaus-Robert Müller, Martin Schuler, Jens Kleesiek, Frederick Klauschen
medRxiv
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models
Kamyar Arzideh, René Hosch, Amin Turki, Bahadir Eryilmaz, Mikel Bahn, Henning Schäfer, Ahmad Idrissi-Yaghir, Sameh Khattab, Amin Dada, Hideo A. Baba, Dirk Schadendorf, Martin Schuler, Jens Kleesiek, Sylvia Hartmann, Felix Nensa, Julius Keyl
JCO Clinical Cancer Informatics
Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer
Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck, Alexej Ballhausen, Sebastian Stintzing, Stefan Fruehauf, Lothar Müller, Annabel H. S. Alig, Tanja Trarbach, Sylvia Hartmann, Felix Nensa, Jens Kleesiek, Stefan Kasper, Martin Schuler, Dominik P. Modest
Clinical Cancer Research 
