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Ergebnis der Suche nach: "Machine Learning"
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16731 - 16740 von 17051

	16731	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
	16732	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
	16733	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
	16734	Unravelling individual rhythmic abilities using machine learning Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
	16735	Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14
	16736	Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression Enthalten in Nature Communications Bd. 16, 8.2.2025, Nr. 1, date:12.2025: 1-15
	16737	Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning Enthalten in Scientific reports Bd. 8, 11.1.2018, Nr. 1, date:12.2018: 1-11
	16738	Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema Enthalten in Scientific reports Bd. 15, 18.4.2025, Nr. 1, date:12.2025: 1-13
	16739	Unsupervised machine learning and cepstral analysis with 4D-STEM for characterizing complex microstructures of metallic alloys Enthalten in npj computational materials Bd. 10, 18.9.2024, Nr. 1, date:12.2024: 1-10
	16740	Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 9, 26.9.2023, Nr. 1, date:12.2023: 1-27

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