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  1. Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
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    Journal: Viruses. 2024 Nov 29;16(12)
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  2. Distinguishing Multisystem Inflammatory Syndrome in Children From Typhus Using Artificial Intelligence: MIS-C Versus Endemic Typhus (AI-MET).
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    Journal: J Infect Dis. 2025 Apr 15;231(4)
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  3. Managing emergency crises using secure information through educational awareness: COVID-19 case study.
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    Journal: Comput Biol Med. 2025 Mar;186
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  4. Machine learning identifies remodeling patterns in human lung extracellular matrix.
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    Journal: Acta Biomater. 2025 Mar 15;195
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  5. Exploring happiness factors with explainable ensemble learning in a global pandemic.
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    Journal: PLoS One. 2025;20(1)
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  6. Design of an intelligent disinfection control system based on an STM32 single-chip microprocessor by using the YOLO algorithm.
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    Journal: Sci Rep. 2024 Dec 30;14(1)
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  7. Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery.
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    Journal: Nat Commun. 2024 Dec 30;15(1)
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  8. Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023.
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    Journal: Front Public Health. 2024;12
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  9. A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning.
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    Journal: BMC Med Res Methodol. 2024 Dec 31;24(1)
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  10. Mobile application development to improve the active search for functional impairment and persistent symptoms in individuals post-COVID-19.
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    Journal: Semergen. 2025;51(4)
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