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Detection of Coronary Artery Calcifications by Whole Blood Transcriptome Analyzed by Artificial InTelligence Algorithms

NCT05619042 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2024-03-20

No results posted yet for this study

Summary

The goal of this observational study is to determine the diagnostic accuracy of peripheral whole blood transcriptomes analyzed by an artificial intelligence algorithm to detect the presence and extent of coronary calcification in individuals without a history of known cardiovascular disease.

The main question it aims to answer is:

1\. Will the proposed method predict the presence and extent of coronary artery calcification from the peripheral whole-blood transcriptomes?

Conditions

Sponsors & Collaborators

  • Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia

    collaborator OTHER

  • Santiago Gabriel Miriuka

    lead OTHER

Principal Investigators

  • Santiago G Miriuka, MD MSc PhD · MultiplAI Health LTD

Eligibility

Min Age
30 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-11-07
Primary Completion
2024-01-24
Completion
2024-01-24

Countries

  • Argentina

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 NCT05619042 on ClinicalTrials.gov