Long COVID Clinical Trial
Official title:
Utilizing Novel Blood RNA Biomarkers as a Diagnostic Tool in the Identification of Long COVID-19
Verified date | March 2024 |
Source | MaxWell Clinic, PLC |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The primary objective of this study is to determine, in unblinded samples, whether artificial intelligence can classify specific blood RNA from patients with long COVID together and separately from apparently healthy normals and other medical conditions which share signs and symptoms of long COVID.
Status | Recruiting |
Enrollment | 3000 |
Est. completion date | March 15, 2026 |
Est. primary completion date | March 15, 2026 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Mentally capable of understanding and completing informed consent for the study. - Precipitants with a lab verified diagnosis of SARS-CoV-2 or clinician note/record that an appropriate rapid test for SARS-CoV-2 was positive. - To qualify for long COVID group participants will need to have new, persistent symptoms related to SARS-CoV-2 infection. iv. No one under the age of 18. Exclusion Criteria: - Subject is unable to provide informed consent. - Primary Investigator or Sub-Investigator determines the participant's ongoing medical complaints that began after 1 November 2019 are not related to SARS-COV-2 but another disease process. |
Country | Name | City | State |
---|---|---|---|
United States | The MaxWell Clinic | Brentwood | Tennessee |
United States | The MaxWell Clinic | Brentwood | Tennessee |
Lead Sponsor | Collaborator |
---|---|
MaxWell Clinic, PLC |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Artificial Intelligence Identified number of RNA Biomarkers for Long COVID | The primary objective of this study is to determine, in unblinded samples, whether artificial intelligence can classify specific blood RNA from patients with long COVID together and separately from apparently healthy normals and other medical conditions which share signs and symptoms of long COVID. | 30 days | |
Secondary | Artificial Intelligence Identified number of RNA Biomarkers for specific Long COVID subgroups | The secondary objective of the study is to determine if artificial intelligence can subclassify specific blood RNA biomarkers long COVID patients into various symptom-related subcategories to provide clinically relevant treatment options. | 30 Days |
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