Large language models-enabled digital twins for precision medicine in rare gynecological tumors.

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Title: Large language models-enabled digital twins for precision medicine in rare gynecological tumors.
Authors: Lammert J; Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany. Jacqueline.Lammert@tum.de.; Center for Personalized Medicine (ZPM), Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany. Jacqueline.Lammert@tum.de.; Institute of Artificial Intelligence in Medicine and Healthcare, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany. Jacqueline.Lammert@tum.de.; EUropean Reference Network for RAre CANcers (EURACAN) Initiative, partner site Munich, Munich, Germany. Jacqueline.Lammert@tum.de., Pfarr N; Center for Personalized Medicine (ZPM), Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Institute of Pathology, Technical University of Munich (TUM), School of Medicine and Health, Munich, Germany., Kuligin L; Google Cloud, Munich, Germany., Mathes S; Department of Dermatology and Allergy Biederstein, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Institute for History, Theory and Ethics of Medicine, University of Mainz Medical Center, Mainz, Germany., Dreyer T; Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Institute of Artificial Intelligence in Medicine and Healthcare, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Modersohn L; Institute of Artificial Intelligence in Medicine and Healthcare, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Metzger P; Institute of Medical Bioinformatics and Systems Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Ferber D; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany; Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany; Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany.; Department of Medicine I, University Hospital Dresden, Dresden, Germany., Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany., Adams LC; Department of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Bressem KK; Department of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, Munich, Germany., Lange S; Center for Personalized Medicine (ZPM), Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Department of Medicine II, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Schwamborn K; Center for Personalized Medicine (ZPM), Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Institute of Pathology, Technical University of Munich (TUM), School of Medicine and Health, Munich, Germany., Boeker M; Institute of Artificial Intelligence in Medicine and Healthcare, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Kiechle M; Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Schatz UA; Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Center for Personalized Medicine (ZPM), Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Bronger H; Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany., Tschochohei M; Institute of Artificial Intelligence in Medicine and Healthcare, Technical University of Munich (TUM), School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Munich, Germany.; Google Cloud, Munich, Germany.
Source: NPJ digital medicine [NPJ Digit Med] 2025 Jul 09; Vol. 8 (1), pp. 420. Date of Electronic Publication: 2025 Jul 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-025-01810-z