Seungyong Yang
Team Leader of Reteena’s Alzheimer’s Diagnosis Solution in MIT Solve’s 2024 Global Health Equity Challenge submission, and contributor to Reteena’s IEEE BigData 2024 low‑field MRI Alzheimer’s framework — per MIT Solve solution listing and Reteena’s published project summary.
What they built
Co-founded Reteena in March 2024 at age 16–17 — an applied AI research lab dedicated to making neurodegenerative disease diagnostics affordable and accessible. Reteena's flagship project is a deep learning framework that enhances low-field MRI scans to achieve 96% diagnostic accuracy for early Alzheimer's detection, enabling early diagnosis on low-cost portable scanners without hospital-grade equipment. The lab is also developing 'Remembrance,' an AI-powered memory companion for Alzheimer's patients that delivers reminiscence therapy through natural conversation and a knowledge-graph memory archive. Research has been published at IEEE BigData 2024 and NeurIPS 2025, and the lab is sponsored by Microsoft for Startups.
View ProjectThe F18 Thesis
Verified track record
- Profile: (Reteena official site) loaded, but no team portrait image URLs were exposed in extracted content. Business Insider / IEEE links in Evidence may contain photos but weren’t extractable here. Per rules, leaving PictureURL unchanged; suggest manual open Business Insider page (if accessible) or Reteena / LinkedIn company assets for an official headshot. (source)