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  1. A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.
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    Journal: J Med Internet Res. 2025 Jun 03;27
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  2. Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.
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    Journal: Pharmacoepidemiol Drug Saf. 2025 Jun;34(6)
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  3. Building Emotional Awareness and Mental Health (BEAM): study protocol for a hybrid implementation-effectiveness trial of the BEAM app-based program for parents with clinical mental health problems.
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    Journal: BMC Psychiatry. 2025 Jun 02;25(1)
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  4. Generative Artificial Intelligence for Virology.
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    Journal: Methods Mol Biol. 2025;2927
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  5. Functional Insights Through Gene Ontology, Disease Ontology, and KEGG Pathway Enrichment.
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    Journal: Methods Mol Biol. 2025;2927
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  6. A recurrent neural network for soft sensor development using CHO stable pools in fed-batch process for SARS-CoV-2 spike protein production as a vaccine antigen.
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    Journal: Biotechnol Prog. 2025;41(5)
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  7. A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans.
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    Journal: Infect Disord Drug Targets. 2025;25(8)
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  8. Analysis-ready VCF at Biobank scale using Zarr.
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    Journal: Gigascience. 2025 Jan 06;14
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  9. DiSC: a statistical tool for fast differential expression analysis of individual-level single-cell RNA-seq data.
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    Journal: Bioinformatics. 2025 Jun 02;41(6)
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  10. Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.
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    Journal: Stress Health. 2025 Jun;41(3)
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