Lub Dub Lab
Lub Dub Lab provides a voice-based AI platform that turns daily smartphone voice interactions into early heart disease screening and monitoring. The system establishes a personalized voice baseline at discharge, then uses daily AI phone calls and passive analysis of everyday calls to detect cardiac stress and fluid overload before symptoms surface. Care teams receive AI-prioritized risk scores and trend trajectories through a unified dashboard for timely intervention.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Heart disease remains the leading cause of death worldwide, yet no simple, universal, or scalable screening approach exists. Current evaluation requires multiple complex tests—including blood pressure, cholesterol, ECG, echocardiogram, and coronary calcium scans—making screening fragmented, costly, and inaccessible, especially in underserved communities. Silent heart attacks occur in 1 in 5 patients with no warning symptoms, and specialist shortages further limit access to timely cardiac care.
Solution
Lub Dub Lab provides a voice-based AI platform that transforms everyday smartphone voice interactions into early heart disease screening and monitoring. Patients enroll by establishing a personal voice baseline at discharge, then receive daily automated AI phone calls that capture voice recordings, blood pressure, weight, and wellbeing check-ins. With consent, the platform can also passively analyze acoustic features from everyday calls on WhatsApp and FaceTime, detecting shifts linked to fluid overload and cardiopulmonary stress. Machine learning models score these voice interactions against the patient's personal baseline in real time, providing care teams with a unified dashboard for monitoring, triaging, and intervening before deterioration leads to hospitalization.
Target Audience
Primary users are hospital care teams, cardiologists, and nursing staff managing heart failure patients post-discharge, as well as healthcare networks serving communities with limited access to specialized cardiac screening.
Features
- AI-driven acoustic analysis that detects cardiac stress and fluid overload before clinical symptoms surface
- Daily automated voice check-in calls capturing voice features, blood pressure, weight, and wellbeing status
- Passive voice monitoring from everyday calls via WhatsApp and FaceTime, with content privacy preserved—only voice features are analyzed, never conversation content
- Personalized voice baselines established at discharge for each patient as a physiological fingerprint
- Care team dashboard with AI-prioritized risk scores, voice trend trajectories, and actionable alerts for nursing triage
- Patient companion app with daily voice check-ins and personalized trend tracking anchored to a healthy baseline
- Wearable integration as an additional patient connection modality