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	32411	Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes Enthalten in Scientific reports Bd. 14, 22.11.2024, Nr. 1, date:12.2024: 1-15
	32412	Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-18
	32413	Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) Enthalten in BMC psychiatry Bd. 25, 18.3.2025, Nr. 1, date:12.2025: 1-12
	32414	Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study Enthalten in Discover oncology Bd. 15, 19.9.2024, Nr. 1, date:12.2024: 1-16
	32415	Utilizing machine learning algorithms to improve predictions of groundwater quality indices for irrigation in an arid environment of Saudi Arabia Enthalten in Environmental earth sciences Bd. 84, 27.6.2025, Nr. 13, date:7.2025: 1-29
	32416	Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks Enthalten in BMC medical informatics and decision making Bd. 22, 9.11.2022, Nr. 1, date:12.2022: 1-16
	32417	Utilizing Machine Learning and DSAS to Analyze Historical Trends and Forecast Future Shoreline Changes Along the River Niger, Niger Delta Enthalten in Water conservation science and engineering Bd. 9, 10.12.2024, Nr. 2, date:12.2024: 1-21
	32418	Utilizing machine learning and molecular dynamics for enhanced drug delivery in nanoparticle systems Enthalten in Scientific reports Bd. 14, 4.11.2024, Nr. 1, date:12.2024: 1-17
	32419	Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy Enthalten in Supportive care in cancer Bd. 33, 16.12.2024, Nr. 1, date:1.2025: 1-14
	32420	Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.10.2024, Nr. 1, date:1.2025: 1-24

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