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  1. Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants.
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    Journal: Sci Rep. 2025 Apr 29;15(1)
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  2. A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks.
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    Journal: Sci Rep. 2025 Apr 29;15(1)
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  3. Performance of AI Approaches for COVID-19 Diagnosis Using Chest CT Scans: The Impact of Architecture and Dataset.
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    Journal: Rofo. 2026 Feb;198(2)
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  4. Machine learning models to predict the COVID-19 reproduction rate: combining non-pharmaceutical interventions with sociodemographic and cultural characteristics.
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    Journal: Inform Health Soc Care. 2025;50(2)
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  5. ARTdeConv: adaptive regularized tri-factor non-negative matrix factorization for cell type deconvolution.
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    Journal: NAR Genom Bioinform. 2025 Jun;7(2)
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  6. Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US.
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    Journal: EBioMedicine. 2025 May;115
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  7. Real-time health monitoring by examining the role of next-generation elements in a medical app.
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    Journal: Comput Biol Med. 2025 Jun;192(Pt A)
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  8. A just-in-time adaptive personalized mobile app intervention produces limited short-term reductions in heavy episodic drinking frequency in college students: A randomized control trial during the COVID-19 pandemic.
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    Journal: Alcohol Clin Exp Res (Hoboken). 2025 Jun;49(6)
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  9. Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.
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    Journal: Medicina (Kaunas). 2025 Mar 26;61(4)
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  10. An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values.
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    Journal: BMC Med Res Methodol. 2025 Apr 24;25(1)
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