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Interpretable Machine Learning Model for Survival Prediction in Pediatric Adrenocortical Tumors Redlich, Antje; Pfaehler, Elisabeth; Kunstreich, Marina; Schmutz, Maximilian; Slavetinsky, Christoph; Juttner, Eva; Holterhus, Paul-Martin; Warncke, Gert; Vokuhl, Christian; Fuchs, Jorg; Wudy, Stefan A.; Kuhlen, Michaela Share Save
Large language model processing capabilities of ChatGPT 4.0 to generate molecular tumor board recommendations-a critical evaluation on real world data Schmutz, Maximilian; Sommer, Sebastian; Sander, Julia; Graumann, David; Raffler, Johannes; Soto-Rey, Inaki; Sheikhalishahi, Seyedmostafa; Schmidt, Lisa; Unkelbach, Leonhard Paul; Ortak, Levent; Schaller, Tina; Dintner, Sebastian; Hildebrand, Kathrin; Kuhlen, Michaela; Jordan, Frank; Trepel, Martin; Hinske, Christian; Claus, Rainer Share Save
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Molecular Genetic Analysis of Bone Marrow Core Biopsy as an Alternative or Adjunct to Bone Marrow Aspirate and/or Peripheral Blood in Hematologic Myeloid Neoplasms Hirschbuehl, Klaus; Maerkl, Bruno; Mueller, Gernot; Schaller, Tina; Claus, Rainer; Sommer, Sebastian; Schmutz, Maximilian; Trepel, Martin; Schmid, Christoph; Dintner, Sebastian Share Save
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The WERA cancer center matrix: Strategic management of patient access to precision oncology in a large and mostly rural area of Germany Krebs, Markus; Haller, Florian; Spoerl, Silvia; Gerhard-Hartmann, Elena; Utpatel, Kirsten; Maurus, Katja; Kunzmann, Volker; Chatterjee, Manik; Venkataramani, Vivek; Maatouk, Imad; Bittrich, Max; Einwag, Tatjana; Meidenbauer, Norbert; Toegel, Lars; Hirsch, Daniela; Dietmaier, Wolfgang; Keil, Felix; Scheiter, Alexander; Immel, Alexander; Heudobler, Daniel; Einhell, Sabine; Kaiser, Ulrich; Sedlmeier, Anja M.; Maurer, Julia; Schenkirsch, Gerhard; Jordan, Frank; Schmutz, Maximilian; Dintner, Sebastian; Rosenwald, Andreas; Hartmann, Arndt; Evert, Matthias; Maerkl, Bruno; Bargou, Ralf; Mackensen, Andreas; Beckmann, Matthias W.; Pukrop, Tobias; Herr, Wolfgang; Einsele, Hermann; Trepel, Martin; Goebeler, Maria -Elisabeth; Claus, Rainer; Kerscher, Alexander; Lueke, Florian Share Save
Predicting Hypoxia Using Machine Learning: Systematic Review Pigat, Lena; Geisler, Benjamin P.; Sheikhalishahi, Seyedmostafa; Sander, Julia; Kaspar, Mathias; Schmutz, Maximilian; Rohr, Sven Olaf; Wild, Carl Mathis; Goss, Sebastian; Zaghdoudi, Sarra; Hinske, Ludwig Christian Share Save
Predictive value of DNA methylation patterns in AML patients treated with an azacytidine containing induction regimen Schmutz, Maximilian; Zucknick, Manuela; Schlenk, Richard F.; Mertens, Daniel; Benner, Axel; Weichenhan, Dieter; Muecke, Oliver; Doehner, Konstanze; Plass, Christoph; Bullinger, Lars; Claus, Rainer Share Save
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Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease Schlosser, Pascal; Knaus, Jochen; Schmutz, Maximilian; Dohner, Konstanze; Plass, Christoph; Bullinger, Lars; Claus, Rainer; Binder, Harald; Lubbert, Michael; Schumacher, Martin Share Save
DNA methylation epitypes highlight underlying developmental and disease pathways in acute myeloid leukemia Giacopelli, Brian; Wang, Min; Cleary, Ada; Wu, Yue-Zhong; Schultz, Anna Reister; Schmutz, Maximilian; Blachly, James S.; Eisfeld, Ann-Kathrin; Mundy-Bosse, Bethany; Vosberg, Sebastian; Greif, Philipp A.; Claus, Rainer; Bullinger, Lars; Garzon, Ramiro; Coombes, Kevin R.; Bloomfield, Clara D.; Druker, Brian J.; Tyner, Jeffrey W.; Byrd, John C.; Oakes, Christopher C. Share Save
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