AIDI - Research & Development of a Multisensor-Based Machine Learning Technology for Real-Time Automated Detection of COVID-19 Decompensation
AIDI - Research & Development of a Multisensor-Based Machine Learning Technology for Real-Time Automated Detection of COVID-19 Decompensation
The AIDI study has to phases. It's purpose is to capture vital signs using a non-invasive, hand-held, home monitoring device (MouthLab Device) from individuals with COVID-19 or who test positive for SARS-CoV-2 (Phase I) and use an algorithm-based approach to identify individuals at risk of clinical decompensation (Phase II). Up to 500 unvaccinated and partially vaccinated subjects will be included (up to 100 in Phase I and up to 400 in Phase II).
Inclusion Criteria:
Exclusion Criteria: