Sanolla offers an AI-powered diagnostic platform that utilizes infrasound analysis to monitor and detect early exacerbations in patients with Congestive Heart Failure (CHF) and Chronic Obstructive Pulmonary Disease (COPD) from home. This technology enables real-time self-assessment, providing critical clinical data that enhances patient care while reducing healthcare costs.
Funding
$11M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IFounders
Product
Problem
Patients with Congestive Heart Failure (CHF) and Chronic Obstructive Pulmonary Disease (COPD) often experience unpredictable exacerbations that require timely detection to prevent hospitalization. Traditional monitoring methods rely on clinic visits and patient self-reporting, which may delay intervention and increase healthcare costs.
Solution
Sanolla provides an AI-powered diagnostic platform that enables early detection and monitoring of CHF and COPD exacerbations directly from a patient's home. The platform utilizes infrasound analysis, capturing and analyzing the body's full spectrum of sounds, including the infrasound range undetectable by the human ear. By applying frequency shifting algorithms, the platform converts infrasound into the audible range, presenting a proprietary sound signature. Embedded AI algorithms analyze these sounds to detect patient's condition based on sounds resonating from the chest area. This allows for self-assessment and self-monitoring to identify improvement or exacerbation, providing real-time feedback and critical clinical data.
Target Audience
The primary target audience includes home-hospitalized chronic patients with CHF and COPD, their families, healthcare professionals, and insurers seeking effective tools for early warning of clinical deterioration and reduced healthcare costs.
Features
- Smart monitoring device with real-time feedback and multi-mode functionality
- Infrasound-based analysis of pulmonary and cardiac sounds
- Full-spectrum based AI disease classifiers for exacerbation detection
- Patient-specific remote updates and communication via smartphone app and cloud services
- Continuous Deep Machine Learning for exacerbation detection
- Independent communication platform using eSIM
- Frequency shifting algorithms to convert infrasound into audible range
- Superior sound quality for both device and remote user