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  1. phylobar: an R package for multiresolution compositional barplots in omics studies.
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    Journal: Bioinformatics. 2026 Apr 07;42(4)
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  2. Temporal Learning with Dynamic Range (TLDR) for modeling recurrent exposure and treatment outcomes.
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    Journal: Sci Rep. 2026 Mar 24;16(1)
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  3. Optimising pandemic response through vaccination strategies using neural networks.
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    Journal: Sci Rep. 2026 Mar 24;16(1)
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  4. User Testing an mHealth Behavioral Health App for Hopi/Tewa Youth During the COVID-19 Pandemic: Usability Study.
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    Journal: JMIR Form Res. 2026 Mar 24;10
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  5. Imaging biomarkers of post-COVID dyspnea: insights from machine learning CT patterns and parametric response mapping.
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    Journal: Respir Res. 2026 Mar 23;27(1)
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  6. Based a machine learning approach to investigate the factors influencing nirmatrelvir/ritonavir exposure in human plasma: a multicenter, observational study.
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    Journal: Front Cell Infect Microbiol. 2026;16
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  7. Explainable artificial intelligence for predicting length of stay and treatment response in pediatric asthma and allergic rhinitis: An irregular fuzzy cellular automata approach across pre- and during-COVID-19 periods.
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    Journal: Respir Med. 2026 May;256
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  8. Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.
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    Journal: Ann Epidemiol. 2026 Jun;118
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  9. Quantifying immune dysregulation in pneumonia and sepsis with a parsimonious machine-learning model: a multicohort analysis across care settings and reanalysis of a hydrocortisone randomised controlled trial.
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    Journal: Lancet Respir Med. 2026 Apr;14(4)
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  10. Genomic evolution of SARS-CoV-2 delta variants pre- and post-omicron emergence using alignment-free machine learning models.
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    Journal: PLoS One. 2026;21(3)
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