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41491 - 41500 von 42121

	41491	Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach Enthalten in BMC cardiovascular disorders Bd. 24, 7.3.2024, Nr. 1, date:12.2024: 1-16
	41492	Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study Enthalten in Scientific reports Bd. 14, 12.5.2024, Nr. 1, date:12.2024: 1-10
	41493	Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning Enthalten in BMC medical informatics and decision making Bd. 25, 3.2.2025, Nr. 1, date:12.2025: 1-18
	41494	Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning Enthalten in Journal of assisted reproduction and genetics Bd. 40, 22.7.2023, Nr. 9, date:9.2023: 2079-2080
	41495	Unlocking the potential of bioanalytical data through machine learning Enthalten in Analytical sciences Bd. 39, 22.11.2023, Nr. 12, date:12.2023: 1937-1938
	41496	Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis Enthalten in Cardiovascular diabetology Bd. 22, 11.9.2023, Nr. 1, date:12.2023: 1-17
	41497	Unlocking urban soil secrets: machine learning and spectrometry in Berlin’s heavy metal pollution study considering spatial data Enthalten in Environmental monitoring and assessment Bd. 197, 19.7.2025, Nr. 8, date:8.2025: 1-28
	41498	Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media Enthalten in Machine learning Bd. 114, 16.1.2025, Nr. 1, date:1.2025: 1-22
	41499	Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.4.2024, Nr. 5, date:9.2024: 814-820
	41500	Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach Enthalten in Modeling earth systems and environment Bd. 10, 6.8.2024, Nr. 5, date:10.2024: 6255-6277