Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.

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Title: Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.
Authors: Silva R; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Riedel C; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Amico M; IDESP, Université de Montpellier, INSERM, Montpellier, 34090, France., Reboul J; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Guibert B; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Sennaoui C; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Bessiere C; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France.; Inserm, UMR1037 CRCT, Toulouse, France.; Université de Toulouse-Paul Sabatier, UMR1037 CRCT, UMR5071 CNRS, Toulouse, France., Ruffle F; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Gilbert N; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France., Boureux A; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France. anthony.boureux@inserm.fr., Commes T; IRMB, Université de Montpellier, INSERM, Montpellier, 34000, France. therese.commes@inserm.fr.
Source: Scientific reports [Sci Rep] 2025 Nov 13; Vol. 15 (1), pp. 39821. Date of Electronic Publication: 2025 Nov 13.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-23468-z