<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Philipp Keyl | IKIM MML</title><link>https://mml.kite.ume.de/authors/philipp-keyl/</link><atom:link href="https://mml.kite.ume.de/authors/philipp-keyl/index.xml" rel="self" type="application/rss+xml"/><description>Philipp Keyl</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0000</lastBuildDate><item><title>Large language models enable prognostic stratification of cancer patients using real-world clinical notes</title><link>https://mml.kite.ume.de/publications/kiermeyer-large-2026/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/kiermeyer-large-2026/</guid><description/></item><item><title>Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Data</title><link>https://mml.kite.ume.de/publications/keyl-explainable-2026/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-explainable-2026/</guid><description/></item><item><title>Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</title><link>https://mml.kite.ume.de/publications/keyl-deep-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-deep-2026/</guid><description/></item><item><title>Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection</title><link>https://mml.kite.ume.de/publications/vogelsang-automated-2025/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/vogelsang-automated-2025/</guid><description/></item><item><title>Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data</title><link>https://mml.kite.ume.de/publications/bosserhoff-characterizing-2025/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/bosserhoff-characterizing-2025/</guid><description/></item><item><title>Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence</title><link>https://mml.kite.ume.de/publications/keyl-decoding-2025/</link><pubDate>Sat, 01 Feb 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-decoding-2025/</guid><description/></item><item><title>Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study</title><link>https://mml.kite.ume.de/publications/keyl-prognostic-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-prognostic-2024/</guid><description/></item><item><title>Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence</title><link>https://mml.kite.ume.de/publications/keyl-decoding-2023/</link><pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-decoding-2023/</guid><description/></item></channel></rss>