AI-driven healthcare innovation

The Mission

We are building a feasibility-stage, Lebanon-first initiative for early cardiovascular risk detection using AI and wearable signals. Our motivation: reduce avoidable CVD events by enabling low-cost, scalable screening integrated with primary care.

Early AI Screening
Analyzes ECG, pulse, HRV, and BP signals for early risk identification.
Wearable Friendly
Works with simple sensors and consumer wearables to scale reach.
Privacy by Design
HIPAA-ready approach with secure data handling and governance.
Primary Care Integration
Built around referral pathways and local clinical validation.

Why now

CVD in MENA: the urgent burden
CVD causes 34% of noncommunicable disease deaths in the Eastern Mediterranean Region
CVD mortality increased by 78.3% between 1990-2019 in MENA
Hypertension affects nearly 40% of adults, dyslipidemia affects 43.3% of population
Prevention and early detection remain critically under-resourced
Why Lebanon first
High mobile and internet penetration enables wearable-first screening
Healthcare system has good access to high-tech procedures but weak primary care
Most spending goes to expensive interventions rather than prevention
Access gaps can be bridged with community and primary care pathways
Technology tailwinds
Mainstream wearables offer ECG, PPG, HRV and BP monitoring capabilities
Digital health technologies can shift focus from reactive to preventive care
Edge + cloud AI pipelines can analyze signals cost-effectively
WHO guidelines for managing CVD at primary care level now available

What this enables

Low-cost, scalable early risk identification before expensive interventions
Structured referrals and insurer-aligned prevention programs
Address behavioral risk factors: obesity (70%+ in Gulf), inactivity, smoking
Regionally replicable feasibility model for MENA countries

References