Machine learning-based prediction of one-year mortality after alloHCT identifies the impact of pre-transplant immunity and inflammation.
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| Title: | Machine learning-based prediction of one-year mortality after alloHCT identifies the impact of pre-transplant immunity and inflammation. |
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| Authors: | Meyer T; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany.; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany., Meyer R; Alcemy GmbH, Berlin, Germany., Hackenberg M; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany., Oelke D; Offenburg University of Applied Sciences, Offenburg, Germany., Gengenbach L; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Rummelt C; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Wilcken H; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Maas-Bauer K; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany.; IMMediate Advanced Clinician Scientist-Program, Department of Medicine II, Medical Center - University of Freiburg and Faculty of Medicine, University of Freiburg, Freiburg, Germany., Wäsch R; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Duyster J; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Bertz H; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Duque-Afonso J; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany.; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany., Finke J; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Zeiser R; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany., Wehr C; Department of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany. |
| Source: | Frontiers in immunology [Front Immunol] 2026 Jan 19; Vol. 16, pp. 1745873. Date of Electronic Publication: 2026 Jan 19 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2025.1745873 |
