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How AI is Predicting Catastrophic Claims (Before They Happen) | with Sasha Gribov

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Nov 4, 2025
Sasha Gribov, founder of Milu Health, is revolutionizing healthcare with AI-driven 'early warning' systems. He explains how AI can predict surgeries up to 90 days in advance, enabling proactive patient outreach. Gribov discusses the necessity of integrating health data to identify care needs before they escalate into catastrophic claims. He passionately argues that AI will augment doctors, enhancing care rather than replacing human expertise. Tune in for insights on building a forward-looking healthcare system that saves lives and cuts costs!
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INSIGHT

Real-Time Early Warning For Health

  • Milu Health uses real-time data and AI to detect health issues as they occur.
  • The platform acts as an early warning system to proactively reach and guide members.
ANECDOTE

Founder Background In Cancer Genomics

  • Sasha and his cofounder built prior AI systems at Tempest for genomic sequencing and cancer patients.
  • That experience led them to focus on using data to reduce costs and improve care timing.
INSIGHT

Health Data Volume Enables New AI

  • Healthcare generates enormous amounts of documented data that can feed AI.
  • Combining siloed sources like EHRs, labs, genetics and claims reveals insights not visible in isolation.
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