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πŸŽ“ Thesis Snapshot

Ahmed Khattab
PhD Defense
April 11, 2025
Scripps Research
La Jolla, CA

πŸ“Œ Title

Personalizing Type 2 Diabetes Risk Prediction

A Machine Learning Approach Integrating Genetics, Phenotypes, and Real-World Data

πŸ” What’s the problem?

Current diabetes screening tools follow a "one-size fits all" approach and miss people who are truly at risk.

πŸ’‘ What did I do?

I built a tailored screening tool that adapts to your:

  • 🧬 Genetics
  • 🩺 Health history
  • πŸƒ Lifestyle

Powered by machine learning and tested on diverse, real-world populations.

πŸš€ Why It Matters

  • 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

πŸ”‘ One-Line Takeaway

Tailored screening saves lives β€” and cuts costs.

πŸ“„ Read the paper

πŸ‘‰ SSRN Preprint

πŸ”¬ More from my PhD work

πŸ‘‰ Genome-wide association study for Diabetic Kidney Disease

πŸ‘‰ AoUPRS: Polygenic Risk Calculator

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