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  1. Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning.
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    Journal: PLoS Comput Biol. 2025 Feb;21(2)
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  2. CoMIT: a bioinformatic pipeline for risk-based prediction of COVID-19 test inclusivity.
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    Journal: BMC Bioinformatics. 2025 Feb 12;26(1)
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  3. AnnCovDB: a manually curated annotation database for mutations in SARS-CoV-2 spike protein.
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    Journal: Database (Oxford). 2025 Feb 12;2025
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  4. Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models.
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    Journal: BMC Med Inform Decis Mak. 2025 Feb 11;25(1)
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  5. Designing equitable telehealth solutions for outpatient surgical care in a safety-net population: a human-centered design approach.
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    Journal: BMC Health Serv Res. 2025 Feb 12;25(1)
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  6. Understanding Citizens' Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI.
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    Journal: J Med Internet Res. 2025 Feb 11;27
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  7. Rational design and synthesis of pyrazole derivatives as potential SARS-CoV-2 Mpro inhibitors: An integrated approach merging combinatorial chemistry, molecular docking, and deep learning.
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    Journal: Bioorg Med Chem. 2025 Apr 01;120
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  8. Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.
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    Journal: J Biomed Inform. 2025 Mar;163
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  9. Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients.
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    Journal: BMC Pulm Med. 2025 Feb 08;25(1)
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  10. APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19.
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    Journal: Bioinformatics. 2025 Mar 04;41(3)
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