Personalizing Type 2 Diabetes Risk Prediction
A Machine Learning Approach Integrating Genetics, Phenotypes, and Real-World Data
Current diabetes screening tools follow a "one-size fits all" approach and miss people who are truly at risk.
I built a tailored screening tool that adapts to your:
- 𧬠Genetics
- π©Ί Health history
- π Lifestyle
Powered by machine learning and tested on diverse, real-world populations.
- Finds high-risk individuals earlier
- Works across diverse ethnicities
- Reduces wasted costs on unnecessary testing
- Paves the way for person-centered, genetically-informed public health
Tailored screening saves lives β and cuts costs.
π SSRN Preprint
π Genome-wide association study for Diabetic Kidney Disease