Overview
- The system continuously monitors data from a smart ring, watch and smart T-shirt to detect acute systemic inflammation, an early marker of respiratory infections.
- In a controlled trial of 55 volunteers given a live attenuated flu vaccine, the selected AI model achieved nearly 90% sensitivity in predicting infection before symptoms emerged.
- Algorithms also flagged immune responses in four incidental COVID-19 cases up to 72 hours before symptom onset or PCR confirmation.
- By combining heart rate, variability, body temperature, respiratory rate and blood pressure readings, the AI captures subtle physiological shifts that individual measures miss.
- Researchers are now refining the data-efficient model for clinical use to alert patients and clinicians to pre-symptomatic inflammation and support preventive care pathways.