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COVID-19 Infection and Machine Learning Using Artificial Intelligence (AI)

NCT04756518 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 215

Last updated 2023-02-21

No results posted yet for this study

Summary

COVID-19 infection is currently confirmed by a complex, multiple-step procedure starting with a mucosal swab, followed by viral RNA extraction and processing and qPCR.

This study aims to explore a novel method using machine learning and artificial intelligence (AI) algorithm to diagnose COVID-19 infection through the morphological analysis of lymphocyte subset in the peripheral blood. This study will also risk stratify patients with COVID 19 infection based on the above finding along with other clinical, haematological and biochemical parameters with a view to predict clinical outcome with high sensitivity and specificity.

Conditions

Sponsors & Collaborators

  • University of Suffolk

    collaborator OTHER

  • East Suffolk and North Essex NHS Foundation Trust

    lead OTHER

Principal Investigators

  • Mahesh Prahladan · East Suffolk and North Essex NHS Foundation Trust

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-07-06
Primary Completion
2022-03-31
Completion
2022-03-31

Countries

  • United Kingdom

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04756518 on ClinicalTrials.gov