Sonde Health's Respiratory Responsive Vocal Biomarker Tool Differentiates Patients with Respiratory Conditions from Healthy Individuals
Sonde Health , a health technology company committed to bringing accessible health monitoring to everyone, has revealed new research that demonstrates the ability of its respiratory responsive vocal biomarker (RRVB) machine learning model to differentiate patients with COVID-19 from healthy individuals with about 70% accuracy.
- Sonde Health , a health technology company committed to bringing accessible health monitoring to everyone, has revealed new research that demonstrates the ability of its respiratory responsive vocal biomarker (RRVB) machine learning model to differentiate patients with COVID-19 from healthy individuals with about 70% accuracy.
- The RRVB tool had already shown strong performance in differentiating patients with asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease, and cough from healthy individuals.
- These findings suggest the tool could help uncover respiratory conditions before symptoms arise.
- The COVID-19 validation study tested this tool for its ability to differentiate patients with COVID-19 from healthy individuals with data collected from September 2020 through April 2021.