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  1. SCovid v2.0: a comprehensive resource to decipher the molecular characteristics across tissues in COVID-19 and other human coronaviruses.
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    Journal: Microbiol Spectr. 2025 Feb 04;13(2)
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  2. Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
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    Journal: Clin Lymphoma Myeloma Leuk. 2025 May;25(5)
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  3. Scope+: an open source generalizable architecture for single-cell RNA-seq atlases at sample and cell levels.
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    Journal: Bioinformatics. 2024 Dec 26;41(1)
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  4. Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study.
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    Journal: JMIR Infodemiology. 2024 Dec 20;4
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  5. scGraph2Vec: a deep generative model for gene embedding augmented by graph neural network and single-cell omics data.
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    Journal: Gigascience. 2024 Jan 02;13
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  6. Spatiotemporal modeling of long-term PM2.5 concentrations and population exposure in Greece, using machine learning and statistical methods.
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    Journal: Sci Total Environ. 2025 Jan 01;958
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  7. Recognizing SARS-CoV-2 infection of nasopharyngeal tissue at the single-cell level by machine learning method.
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    Journal: Mol Immunol. 2025 Jan;177
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  8. Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.
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    Journal: PLoS One. 2024;19(12)
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  9. An individual-level probabilistic model and solution for control of infectious diseases.
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    Journal: Math Biosci Eng. 2024 Oct 09;21(10)
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  10. Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases.
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    Journal: BMC Infect Dis. 2024 Dec 18;24(1)
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