The Primary objective of this study is to determine, using unblinded samples, if it is possible to develop an algorithm for the classification of specific blood RNA from patients with long COVID together and separately from the apparent health normal controls and other medical conditions that share the signs and symptoms of long COVID.
Participants will be screened and provide two blood samples28 (+/- 2) days apart. Based on the participants survey results they will be placed into one of fourteen groups that reflect the type of Long COVID the patient is experiencing. Samples will be shipped to the sponsor who will develop an AI process to validate the type of Long COVID and assess its severity. The long term goal is to develop a reliable test to identify the presence of Long COVID and its severity.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
224
Blood will be collected into a PaxGene Blood tube for processing by sponsor
University of Iowa
Iowa City, Iowa, United States
NOT_YET_RECRUITINGThe MaxWell Clinic
Brentwood, Tennessee, United States
RECRUITINGThe MaxWell Clinic
Brentwood, Tennessee, United States
RECRUITINGDevelop algorithm to classify RNA sequences to identify long COVID
The Primary objective of this study is to determine, using unblinded samples, if it is possible to develop an algorithm for the classification of specific blood RNA from patients with long COVID together and separately from the apparent health normal controls and other medical conditions that share the signs and symptoms of long COVID
Time frame: 30 days
Develop algorithm to subclassify specific RNA sequences to subclassify types of Long COVID
The secondary objective of this study is to determine if it is possible to develop an algorithm that can subclassify specific blood RNA biomarkers in long COVID patients into various symptom-related subcategories to provide clinically relevant treatment options.
Time frame: 30 Days
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