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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26711 - 26720 von 32606
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Artikel 26711 Machine learning reveals heterogeneous associations between environmental factors and cardiometabolic diseases across polygenic risk scores
Enthalten in Communications medicine Bd. 4, 20.9.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 26712 Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS
Enthalten in Scientific reports Bd. 8, 5.11.2018, Nr. 1, date:12.2018: 1-14
Online Ressource
Artikel 26713 Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability
Enthalten in Communications earth & environment Bd. 5, 24.2.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 26714 Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction
Enthalten in BMC psychiatry Bd. 25, 6.2.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 26715 Machine learning reveals sex-specific associations between cardiovascular risk factors and incident atherosclerotic cardiovascular disease
Enthalten in Scientific reports Bd. 13, 8.6.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 26716 Machine learning reveals signatures of transposable element activity driving agronomic and phenolic traits in mutagenized sorghum
Enthalten in Discover plants Bd. 2, 10.9.2025, Nr. 1, date:12.2025: 1-30
Online Ressource
Artikel 26717 Machine learning reveals that Mycobacterium tuberculosis genotypes and anatomic disease site impacts drug resistance and disease transmission among patients with proven extra-pulmonary tuberculosis
Enthalten in BMC infectious diseases Bd. 20, 31.7.2020, Nr. 1, date:12.2020: 1-15
Online Ressource
Artikel 26718 Machine learning reveals the merging history of nearby galaxies
Enthalten in Nature astronomy Bd. 8, 16.8.2024, Nr. 10, date:10.2024: 1218-1219
Online Ressource
Artikel 26719 Machine learning reveals the rules governing the efficacy of mesenchymal stromal cells in septic preclinical models
Enthalten in Stem cell research & therapy Bd. 15, 11.9.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26720 Machine learning risk estimation and prediction of death in continuing care facilities using administrative data
Enthalten in Scientific reports Bd. 13, 18.10.2023, Nr. 1, date:12.2023: 1-12
Online Ressource


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