Julian Friedrich

Julian Friedrich

Team Lead
Postdoc
Clinical Translation
Institute for AI in Medicine, Germany
Julian studied medicine at Heidelberg University before completing a PhD in Vascular Biology at the Rijksuniversiteit Groningen. He has extensive clinical experience in internal medicine and emergency medicine, and is currently finalizing his specialty training at the West German Cancer Center. At IKIM, he leads the Clinical Translation group, bridging the gap between AI research and clinical practice. His work spans original research in medical natural language processing and the coordination of several national projects aimed at advancing the digitalization of oncology and fostering collaboration across cancer care networks in Germany. His overarching goal is to embed AI meaningfully into clinical workflows, ultimately improving outcomes for patients.

Publications

2026

Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval Jiale Wei, Yufan Chen, Alexander Jaus, Zdravko Marinov, Julian Friedrich, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen arXiv — 2026-08-26 Robuste KI für multimodale und longitudinale Daten in der Onkologie Julius Keyl, Michael Kamp, Jens Kleesiek, Julian Friedrich Forum — 2026-08 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 — 2026-07 Vessel branching patterns quantified by artificial intelligence as a novel prognostic biomarker in advanced renal cell carcinoma: A post-hoc analysis of the CM914 trial. Hannah Timm, Marieta Toma, Julian Friedrich, Fabian Hörst, Niklas Klümper, Yangping Li, Alexander Effland, Michael Hölzel, Jens Kleesiek, Viktor Grünwald Journal of Clinical Oncology — 2026-06 AIANO: Enhancing Information Retrieval with AI-Augmented Annotation Sameh Khattab, Marie Bauer, Lukas Heine, Till Rostalski, Jens Kleesiek, Julian Friedrich arXiv — 2026-02 Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging Sameh Khattab, Jean-Philippe Corbeil, Osman Alperen Koraş, Amin Dada, Julian Friedrich, François Beaulieu, Paul Vozila, Jens Kleesiek arXiv — 2026-02