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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.
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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.
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224 participants in 14 patient groups
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Data sourced from clinicaltrials.gov
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