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  1. Machine learning and probabilistic approaches for forecasting infectious disease transmission and cases.
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    Journal: Int J Infect Dis. 2026 Jun;167
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  2. Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study.
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    Journal: BMC Med Inform Decis Mak. 2026 Mar 31;26(1)
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  3. Morphology-guided deep learning for nanoparticle agglomeration diagnostic assays.
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    Journal: Sci Rep. 2026 Mar 31;16(1)
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  4. Artificial intelligence and multi-omic empowered-tracing macrophage diagnostic and druggable implications in coronavirus pneumonia.
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    Journal: Comput Biol Chem. 2026 Aug;123
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  5. The Coordination on Mobile Pandemic Apps Best Practice and Solution Sharing (COMPASS) Framework: Holistic Approach to Pandemic mHealth Apps.
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    Journal: JMIR Form Res. 2026 Mar 30;10
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  6. Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis.
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    Journal: JMIR Infodemiology. 2026 Mar 30;6
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  7. A dual-branch deep learning framework for tiered early warning of COVID-19 utilizing wastewater data.
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    Journal: J Water Health. 2026 Mar;24(3)
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  8. Deep Learning-Guided Discovery of Dual Inhibitors of SARS-CoV-2 Entry and 3CL Protease.
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    Journal: Molecules. 2026 Mar 20;31(6)
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  9. Preparing for Pandemics with Large Language Models: An Evaluation of Sensitivity Across COVID-19, Zika, and Monkeypox Case Reports.
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    Journal: J Med Syst. 2026 Mar 28;50(1)
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  10. ImmuSeeker: deep mining of immune-related gene family signatures through lineage reconstruction.
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    Journal: Genome Biol. 2026 Mar 26;27(1)
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