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11841 - 11850 von 15138

	11841	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
	11842	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
	11843	Machine-learning screening of luminogens with aggregation-induced emission characteristics for fluorescence imaging Enthalten in Journal of nanobiotechnology Bd. 21, 25.3.2023, Nr. 1, date:12.2023: 1-17
	11844	Machine learning security and privacy: a review of threats and countermeasures Enthalten in EURASIP journal on information security Bd. 2024, 23.4.2024, Nr. 1, date:12.2024: 1-23
	11845	Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality Enthalten in Clinical epigenetics Bd. 10, 13.12.2018, Nr. 1, date:12.2018: 1-15
	11846	Machine learning-selected variables associated with CD4 T cell recovery under antiretroviral therapy in very advanced HIV infection Enthalten in Translational medicine communications Bd. 5, 23.4.2020, Nr. 1, date:12.2020: 1-10
	11847	Machine learning selection of basement membrane-associated genes and development of a predictive model for kidney fibrosis Enthalten in Scientific reports Bd. 15, 24.2.2025, Nr. 1, date:12.2025: 1-13
	11848	Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology Enthalten in Nature Communications Bd. 16, 25.3.2025, Nr. 1, date:12.2025: 1-14
	11849	Machine Learning simulations reveal oxygen’s phase diagram and thermal properties at conditions relevant to white dwarfs Enthalten in Nature Communications Bd. 16, 1.7.2025, Nr. 1, date:12.2025: 1-7
	11850	Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania Enthalten in BMC biology Bd. 18, 3.9.2020, Nr. 1, date:12.2020: 1-26

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