Mosses ML: Machine-Learning-Enhanced Biomonitoring of Emerging Contaminants Using <i>Hylocomium splendens</i>: An Integrated Approach Linking Atmospheric Deposition, Trace Metals, and Predictive Risk Assessment. [PDF]
Kosior G +4 more
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Artificial intelligence-driven magnetic property prediction and materials discovery for next-generation spintronics. [PDF]
Elilarassi R +5 more
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Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data. [PDF]
He Y, Mao Y, Wang X.
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Artificial intelligence and laboratory biomarkers in veterinary medicine: an update about machine learning applications. [PDF]
Tecles F +6 more
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Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus. [PDF]
Kama MO +5 more
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Dental age estimation in forensic odontology: a systematic review comparing traditional methods and artificial intelligence approaches. [PDF]
Lakhaouaja F, García Navarro A.
europepmc +1 more source
Rainfall frequency and uncertainty analysis in arid regions using machine learning and statistical distribution models based on a 91-year rainfall record. [PDF]
Hagage M.
europepmc +1 more source
Implementation of an emergency nursing pathway reduces emergency department length of stay in trauma: Retrospective analysis and machine learning-based risk modeling. [PDF]
Fu Y, Chen Z, Wu M, Han K, Wang Y.
europepmc +1 more source
Comparative evaluation of LDL-cholesterol estimation using machine learning algorithms and conventional equations in a large middle eastern cohort. [PDF]
Ahmed FS +4 more
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Artificial intelligence-based prediction of procedural success in transcatheter mitral valve edge-to-edge repair. [PDF]
Claeys M +13 more
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