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Prospective Data Collection for SENSING-AI: A Precision Digital and Wearables Platform for the Early Diagnosis of Emotional and Physical Complications in Patients With Long COVID Through the Use of Artificial Intelligence
The prospective study will focus on the collection of biometric and psychometric data from a limited population for 1 month with the aim of complementing the SENSING-AI retrospective cohort.
The stratification of the risk of complications related to persistent COVID symptoms both physiological and psychological in a personalized way would optimize the cost-effectiveness model for the management of these patients. Similarly, the early detection of complications associated with persistent COVID in patients belonging to vulnerable groups would improve care times and, therefore, the patient's prognosis. The primary objective of this study is to complement the SENSING-AI cohort with biometric and psychometric data prospectively gathered from patients diagnosed with long COVID in the last year to drive the generation of AI-based risk prediction and stratification models.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
IDIAP Jordi Gol
Barcelona, Spain
Primary Care Aljarafe-Sevilla Norte
Seville, Spain
Start Date
January 18, 2022
Primary Completion Date
February 12, 2022
Completion Date
April 28, 2022
Last Updated
January 5, 2023
10
ACTUAL participants
Collection of clinical, psychometric and biometric data
OTHER
Lead Sponsor
Adhera Health, Inc.
Collaborators
NCT05421208
NCT05926505
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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