devAIce

Proprietary software that processes voice samples to extract biomarkers indicative of cardiovascular disease severity and progression. The technology enables non-invasive health risk stratification through acoustic analysis of patient voice patterns.

Proprietary software utilizing facial video to extract physiological parameters through artificial intelligence. Designed for integration into medical and diagnostic workflows.

“Heart to Voice” is an AI model that evaluates heart failure severity by analyzing voice data and clinical indicators, supporting patient care from high-risk screening to post-discharge management. a.cure is developing a prescription-based voice monitoring solution for discharged heart failure patients. Through once-daily voice monitoring, the system analyzes condition changes and detects early signs of deterioration, enabling timely intervention and helping prevent hospital readmission. The AI model provides a four-level severity classification based on voice recordings of about 10 seconds, with a target performance of AUC 95%. Using a non-invasive voice analysis approach, the solution allows convenient use in everyday environments and continuous monitoring after discharge. A web-based dashboard and notification system enable healthcare providers and caregivers to monitor patient status and provide lifestyle guidance based on severity levels.