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RAISE: Early Detection of RED-S Risk Using Machine Learning and Wearable Data

CWSF · 2026 Health & Wellness Silver Medal

Sitka Land-Gillis · Intermediate Division · Grades 9–10

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Overview

I created RAISE (Recovery Analytics and Intensity Surveillance Engine) as an individualized early-warning system to prevent Relative Energy Deficiency in Sport (RED-S), a condition where an athlete's training output exceeds their caloric intake. Each athlete adapts differently to the same training plan: one may become faster and stronger, while another experiences fatigue, repeated injuries, and serious long-term physiological damage. RED-S is common but under-detected due to expensive, complex diagnostic tools. RAISE integrates existing technology - smartwatches and training apps - to use data athletes collect everyday (sleep, heart rate and training load) plus a daily wellness survey, to detect risk patterns earlier. It provides coaches with a confidential risk score for each athlete, so that training can be adapted for optimized performance and long-term health.. I am testing RAISE with the Yukon Ski and Cycling Teams, so we can help more athletes train safely, prevent injuries, and protect lifelong health.

Awards (3)

  • Special Award
  • Silver Medal
  • Selected for CWSF 2026

Competition history

  • CWSF 2026 Health & Wellness

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