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  1. Machine Learning Methods Based on Chest CT for Predicting the Risk of COVID-19-Associated Pulmonary Aspergillosis.
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    Journal: Acad Radiol. 2025 Jun;32(6)
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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. Using ChatGPT for medical education: the technical perspective.
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    Journal: BMC Med Educ. 2025 Feb 07;25(1)
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  8. Refining COVID-19 Lesion Segmentation in Lung CT Scans Using Swarm Intelligence and Evolutionary Algorithms.
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    Journal: Int J Med Robot. 2025 Feb;21(1)
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  9. Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.
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    Journal: Artif Intell Med. 2025 Mar;161
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  10. ESPClust: unsupervised identification of modifiers for the effect size profile in omics association studies.
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    Journal: Bioinformatics. 2025 Feb 04;41(2)
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