“COVID-CARE” facilitates digital health technologies as measures to advance public health response and facilitate underlying approaches to future epidemic and pandemic planning.
The study collects measures across the technology’s performance, usability, and reliability of at-home predictive algorithms for infection and that support individual, organizational, community and societal-level decision-making.
The study is a multi-cohort diverse population analysis of augmenting at-home testing with machine learning with clinical machine learning algorithm that can be used to improve sensitivity and provide higher confidence in identifying positive results in terms of infectious disease and outbreaks. It includes:
How Mount Sinai Delivers eConsent and Phenotypic and EHR Data Collection for Its Million Person Genomics Research Program
All of Us Research Program – Enrolling 1 million participants to support Precision Medicine
Predicting relapse and providing timely interventions in patients with alcohol-associated liver disease
Plan to Thrive, Tailored cancer survivorship interventions
Nutrition for Precision Medicine Study