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19211 - 19220 von 19594

	19211	Unlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights Enthalten in Scientific reports Bd. 14, 20.1.2024, Nr. 1, date:12.2024: 1-15
	19212	Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning Enthalten in Scientific reports Bd. 9, 26.2.2019, Nr. 1, date:12.2019: 1-10
	19213	Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach Enthalten in Communications materials Bd. 4, 15.8.2023, Nr. 1, date:12.2023: 1-11
	19214	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
	19215	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
	19216	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
	19217	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
	19218	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
	19219	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
	19220	Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning Enthalten in BMC infectious diseases Bd. 24, 19.10.2024, Nr. 1, date:12.2024: 1-20