ReimagineHealth.
with eMed & OpenAI
What does the next generation of at-home chronic condition management look like, powered by AI?
At-home chronic condition management, powered by AI
Chronic conditions (obesity, type 2 diabetes, cardiovascular disease) affect millions of people, yet most healthcare systems still treat them reactively and in-clinic. eMed has spent years proving that the opposite is possible: that patients managed at home, with the right tools, can achieve outcomes far beyond what traditional care delivers — 90% adherence rates where the industry averages 40–60%. We're not looking for incremental improvements to existing apps. We want genuinely novel ideas: new ways to support patients through long programmes, surfaces for monitoring and coaching that feel human, tools that make adherence effortless, or entirely new ways to think about how AI can sit alongside someone managing a long-term health condition.
Inadequate at-home biomarker monitoring tools lead to immature data interpretation and missed critical signals.
How can we create AI that offers genuine, ongoing support for long-term health?
How do we provide better support for patients managing complex needs like heart or women's health?
How can we connect patients with their clinical teams without needing constant, real-time appointments?
How can we turn complex health data into simple, actionable advice for patients?
Organised by AI Engine
In partnership with eMed, and supported by OpenAI and Eka Ventures.
The Team
Founder of AI Engine.
Co-organiser.
Investor at Eka Ventures.
SVP Engineering at eMed.