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  1. Interpretable machine learning for classification and risk factor identification of anxiety, depression, and insomnia symptoms after the full opening of China's COVID-19 lockdown.
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    Journal: BMC Psychiatry. 2025 Nov 14;25(1)
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  2. Integrated machine learning-driven QSAR modelling and systems biology approach for the identification of potential SARS-CoV-2 3CLpro inhibitors.
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    Journal: SAR QSAR Environ Res. 2025 Nov;36(11)
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  3. scMFF: a machine learning framework with multiple feature fusion strategies for cell type identification.
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    Journal: BMC Bioinformatics. 2025 Nov 18;26(1)
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  4. Removal of a quaternary ammonium compound by electrocoagulation: Mechanistic analysis and multi-response optimization using response surface methodology and machine learning.
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    Journal: Water Res. 2026 Jan 15;289(Pt B)
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  5. Predictive surveillance and diagnosis of COVID-19: An integrative machine learning and wastewater multi-omics approach.
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    Journal: Water Res. 2026 Jan 15;289(Pt B)
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  6. Artificial Intelligence-Driven Discovery of Pyrazolo[1,5-a]pyrimidine Derivatives as Novel Phosphodiesterase 4 Inhibitors for Treating Idiopathic Pulmonary Fibrosis.
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    Journal: J Med Chem. 2025 Nov 27;68(22)
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  7. Using Machine Learning Methods to Examine Turnover Rates in State Health Agencies.
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    Journal: J Public Health Manag Pract. 2026 Jan-Feb 01;32(1S Suppl 1)
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  8. Sexual Behavior, App Use, and Venue Comfort During COVID-19: A Global Study of Gay, Bisexual, and Other Men Who Have Sex with Men.
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    Journal: J Sex Res. 2026;63(5)
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  9. Assessing Africa's position in the development of AI-enabled ECG devices.
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    Journal: F1000Res. 2024;13
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  10. TSCytoPred: a deep learning framework for inferring cytokine expression trajectories from irregular longitudinal gene expression data to enhance multi-omics analyses.
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    Journal: PeerJ. 2025;13
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