ML Breakthroughs in Large-Scale Sleep Disorder Detection

Download the latest research unveiled at World Sleep Congress 2025.

Sleep apnea and insomnia affect hundreds of millions worldwide, yet most cases remain undiagnosed. Our analysis of 68,000+ participants and 2.7M nights of sleep shows how ML can power earlier, broader, and more accessible detection.

Sleep AI Research Apnea Insomnia

Get Insights You Can Act On

See how machine learning, trained on millions of nights of real-world data, is reshaping what’s possible in identifying apnea and insomnia risk at scale.

Inside the research summary, you’ll find:

  • Validated results from large-scale ML models

  • Implications for your business in healthcare, digital health, and consumer products

  • Future opportunities to integrate sleep intelligence into your offerings

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Sleep APIs-1

Differentiate Your Product with Sleep Intelligence

Embed science-backed sleep detection, insights, and coaching directly into your app or platform.

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Turn Innovation Into Marketable Claims & Evidence

Our R&D team gives you the clinical credibility to win over customers and partners.