Publications
2026
An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems
Philipp Keyl, Niklas Kiermeyer, Jonah Bosserhoff, Tim Lenfers, Thibault Niederhauser, Bowen Fan, Thomas Schnake, Simon Schallenberg, Fabio Aubele, Solveig Kuss, Mina Jamshidi Idaji, Philipp Jurmeister, Moon Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Stephan Lang, Ina Pretzell, Tienush Rassaf, Alexander Rösch, Jens T. Siveke, Maja Guberina, Ulrich Sure, Marc Wichert, Michael Ingrisch, Kristian Unger, Jürgen Behr, Daniel Teupser, Christian G. Stief, Julia Mayerle, Nadia Harbeck, Amanda Tufman, Jens Ricke, Lars H. Lindner, Siegfried Priglinger, Günter Höglinger, Sven Mahner, Martin Canis, Lucie Heinzerling, Christine Spitzweg, Alpaslan Tasdogan, Matthias Totzeck, Anja Welt, Marcel Wiesweg, C. Benedikt Westphalen, Reinhard Thasler, Fady Albashiti, Grégoire Montavon, Nicola Miglino, Zsolt Balazs, Michael von Bergwelt-Baildon, Volker Heinemann, Claus Belka, Sylvia Hartmann, Andreas Wicki, Felix Nensa, Dirk Schadendorf, Michael Krauthammer, Klaus-Robert Müller, Martin Schuler, Frederick Klauschen, Jens Kleesiek, Julius Keyl
medRxiv
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-Virchow, 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 Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Rösch, 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 Frühauf, Lothar Müller, Annabel H. S. Alig, Tanja Trarbach, Sylvia Hartmann, Felix Nensa, Jens Kleesiek, Stefan Kasper-Virchow, Martin Schuler, Dominik P. Modest
Clinical Cancer Research 
