Source code of the paper, "Prediction of Type 2 Diabetes using Genome-wide Polygenic Risk Score and Metabolic Profiles: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study".
🩺 Open-source decision-support framework for optimizing endurance training while managing Type 2 diabetes. Integrates CGM, HRV, sleep & training load into a GREEN/YELLOW/RED daily readiness model. Built by a physician-developer. | DoctorsWhoCode.blog
Bioinformatics analysis pipeline for metagenomic profiling, functional annotation, and machine learning on T2D patient data.
Omics analyses of subjects born with low birth weight (LBW) and matched normal birth weight (NBW) controls. A carbohydrate overfeeding intervention study, these analysis focusing on the baseline differences between the LBW and NBW groups.
Showcasing my projects in machine learning, deep learning, and bioinformatics tools
Detrimental effects of carbohydrate overfeeding of non-obese early middle-aged low birthweight men with and without non-alcoholic fatty liver disease (NAFLD) based on fasting serum samples and adipose tissue biopsies.
Spatial and statistical analysis of Type 2 Diabetes using logistic regression and arcGIS.
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