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  1. A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).
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    Journal: Biogerontology. 2026 Jul 22;27(4)
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  2. Integrating Clinical Classifications Software Refined, Process Indicators, and Geographic Information System Mapping to Inform Population Health Management: Development of an Interactive Dashboard.
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    Journal: JMIR Med Inform. 2026 Jul 15;14
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  3. ShinyDataMatcher: A user-friendly application for integrating survey data.
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    Journal: PLoS One. 2026;21(7)
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  4. Comparison and validation of machine learning-based screening models for elevated depressive symptoms in peritoneal dialysis patients.
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    Journal: Front Public Health. 2026;14
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  5. ETL Application with R Shiny Visualization.
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    Journal: Stud Health Technol Inform. 2026 May 21;336
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  6. BIOWATCH: a R shiny application for the detection of species of interest in metabarcoding datasets.
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    Journal: BMC Bioinformatics. 2026 May 19;27(1)
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  7. Development and validation of an interpretable machine learning model for predicting medium-to-giant coronary aneurysms in Kawasaki disease.
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    Journal: Front Immunol. 2026;17
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  8. One Function to Rule Them All: An R Shiny Application and R Script for Processing Measurement Data in Microscopic Analysis of Linear Enamel Hypoplasia.
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    Journal: Am J Biol Anthropol. 2026 Apr;189(4)
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  9. Web-Based User Interface for Fam3PRO: A Multigene, Multicancer Risk Prediction Model for Families With Cancer History.
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    Journal: JCO Clin Cancer Inform. 2026 Mar;10
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  10. SMIntegration: A web tool for comprehensive spatial metabolomics and transcriptomics integrated analysis and visualization.
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    Journal: Gigascience. 2026 Jan 21;15
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