​🫀 A precise PHP API for the AHA 2023 PREVENT™ Equations to estimate 10-year CVD, ASCVD & Heart Failure risks. | وب‌سرویس مستقل PHP برای محاسبه دقیق ریسک بیماری‌های قلبی بر اساس معادلات انجمن قلب آمریکا.

Predicting cardiovascular risk factors from retinal fundus photographs using deep learning. Educational visualization and analysis toolkit inspired by Poplin et al. (2018) Nature Biomedical Engineering research.

ML-based heart disease risk prediction with explainability (SHAP) and Streamlit demo

Analysis code for Bao et al., NTR-2026-092: smoking, aging, and the gut microbiome (secondary analysis of the Guangdong Gut Microbiome Project)

Cardiovascular disease risk prediction API built with FastAPI, SQLite and Scikit-learn including ML pipeline, model deployment and automated testing.

Reproducible QRISK3 10-year cardiovascular risk computation pipeline using UK Biobank Instance 1 baseline data.