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  1. Lung involvement percentage in patients with COVID-19 during the Omicron wave in China: a SHAP-explained machine learning study from a single center.
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    Journal: Front Public Health. 2025;13
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  2. A hybrid XGBoost-SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT).
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    Journal: Sci Rep. 2026 Jan 31;16(1)
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  3. ML-ABC: Machine-learning assisted Approximate Bayesian Computation for efficient calibration of agent-based models for pandemic outbreak analysis.
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    Journal: Epidemics. 2026 Mar;54
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  4. Machine Learning-Guided Repositioning of a SARS-CoV-2-Targeting Molecular Series as Cruzain Inhibitors.
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    Journal: ChemMedChem. 2026 Jan;21(2)
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  5. Infectious disease prediction model based on optimized deep learning algorithm.
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    Journal: Front Public Health. 2025;13
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  6. Exploring variation in research priorities generated by AI tools.
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    Journal: J Glob Health. 2026 Jan 30;16
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  7. Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy.
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    Journal: Math Biosci Eng. 2026 Jan 09;23(2)
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  8. Characteristics Influencing Support for the National Health Service COVID-19 App in England and Wales: Findings From a Longitudinal Survey.
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    Journal: J Med Internet Res. 2026 Jan 28;28
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  9. Enhancing survival prediction for COVID-19 in diabetic patients in Mexico: integrating RMST, propensity score matching, and ensemble machine learning.
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    Journal: Front Endocrinol (Lausanne). 2025;16
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  10. In Silico Ligand-Based Screening of PDB Database for Searching Unique Motifs Against SARS-CoV-2.
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    Journal: Biomolecules. 2026 Jan 19;16(1)
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