Julius Keyl

7PUBLICATIONS
57CO-AUTHORS
Context learningImage processingPredictive and prognostic markersMolecular targetsQuery processing and optimisation
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (7)

|Jul 08, 2026
Large language models enable prognostic stratification of cancer patients using real-world clinical notes.

|Mar 11, 2026
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models.

Kamyar Arzideh, René Hosch, Amin Turki

|Jan 05, 2026
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

|Sep 08, 2025
Neural interaction explainable AI predicts drug response across cancers.

Philipp Keyl, Julius Keyl, Andreas Mock

|Jan 30, 2025
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.

Julius Keyl, Philipp Keyl, Grégoire Montavon

|Sep 06, 2024
Establishing Medical Intelligence-Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study.

Alexander Brehmer, Christopher Martin Sauer, Jayson Salazar Rodríguez

Pageof 2

Frequent Collaborators

3 joint publications

Philipp Keyl

3 joint publications

Martin Schuler

3 joint publications

Jens Kleesiek

3 joint publications

Felix Nensa