Smart Lung Monitoring
For Clinical Trials and Pulmonologists*
*For investigational use only. The performance
characteristics of this product have not been established.
Leveraging AI to provide a comprehensive,
long-term picture of respiratory health
With Unobtrusive Smart Pendant
Reduce your reliance on effort-dependent monitoring and patient journals, which hurt both compliance and data quality. Clairways is small, light-weight, discretely worn under clothing, and requires no action from patients.
With Embedded Intelligence
On-device intelligence means no gaps in monitoring, regardless of connectivity. Whether you’re on a country road, in a garage, or in other low-connectivity environments, Clairways continues to monitor.
With Ultra-Low Power Sensor
Patients’ respiratory diseases change from day to day, but existing tools are limited to point-in-time or short-duration monitoring. Clairways’ ultra-low power sensor enables long-term visibility into important trends and variability.
With AI Symptom Detection
Only record relevant respiratory events. Other technologies continuously record all patient audio, including patients’ private conversations. In comparison, Clairways selectively records coughs.
*For investigational use only. The performance characteristics of this product have not been established.
The Clairways sensor is placed around a patient's neck either by a clinician or by the patient.
Patients go about their everyday lives while the sensor continuously captures metrics.
Easily digestible analytics and summary metrics are transmitted back to the trial.
Serving Clinical Trial Needs
Low-burden smart device makes it easier to find willing participants.
Comfortable and unobtrusive form factor reduces
More Efficacy Data
Long-term, continuous monitoring enables the capture of more efficacy data.
Support & Collaborations
Jeff is experienced in product management, market research, and customer discovery for novel biomedical devices. He previously worked in product management for Endotronix, a Series C-funded medical device company. MBA, Tuck School of Business at Dartmouth.
Justice is a pioneer in embedded systems for stochastic modeling of physiological signals. His focus is on deep neural network models for detecting the onset of symptoms in respiratory diseases. Ph.D., Thayer School of Engineering at Dartmouth.
Ricardo Serrano Smith
Embedded Systems Engineering Manager
Embedded Systems Engineer
Digital Lead, IQVIA
Med Devices CEO
Address: Clairways, 16 Cavendish Court, Lebanon, NH, 03766, USA