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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: "Machine Learning"
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36631 - 36640 von 37164

	36631	Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation Enthalten in Journal of biological engineering Bd. 18, 26.7.2024, Nr. 1, date:12.2024: 1-24
	36632	Unraveling prognostic factors in canine mammary gland tumors using machine learning Enthalten in Veterinary oncology Bd. 2, 2.7.2025, Nr. 1, date:12.2025: 1-15
	36633	Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods Enthalten in BMC infectious diseases Bd. 25, 15.4.2025, Nr. 1, date:12.2025: 1-18
	36634	Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends Enthalten in Analytical and bioanalytical chemistry Bd. 415, 3.3.2023, Nr. 18, date:7.2023: 3945-3966
	36635	Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach Enthalten in The Japanese economic review Bd. 75, 18.11.2024, Nr. 4, date:12.2024: 691-737
	36636	Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning Enthalten in Scientific reports Bd. 14, 16.10.2024, Nr. 1, date:12.2024: 1-11
	36637	Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-19
	36638	Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
	36639	Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach Enthalten in Journal of happiness studies Bd. 25, 22.8.2024, Nr. 7, date:10.2024: 1-22
	36640	Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning approaches Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-17

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