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Enrolled Subjects (PSR) for Coronary Artery Disease (IDENTIFY Trial)

N/A
Waitlist Available
Research Sponsored by Analytics For Life
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 7 day
Awards & highlights

IDENTIFY Trial Summary

This study is designed as a repository study to collect resting cardiac phase signals and subject meta data from eligible subjects using the Phase Signal Recorder (PSR) prior to coronary angiography. The repository data will be used for the purposes of research, development, optimization and testing of machine-learning algorithms developed by Analytics 4 Life.

Eligible Conditions
  • Coronary Artery Disease

IDENTIFY Trial Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~7 day
This trial's timeline: 3 weeks for screening, Varies for treatment, and 7 day for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Phase Signal Recorder Procedure

IDENTIFY Trial Design

1Treatment groups
Experimental Treatment
Group I: Enrolled Subjects (PSR)Experimental Treatment1 Intervention
Patients who meet the study's inclusion and exclusion criteria, including signing the informed consent form, subjects will undergo signal acquisition prior to their scheduled cardiac catheterization on the day of the procedure.
Treatment
First Studied
Drug Approval Stage
How many patients have taken this drug
Phase Signal Recorder
2016
N/A
~2630

Find a Location

Who is running the clinical trial?

Analytics For LifeLead Sponsor
2 Previous Clinical Trials
5,122 Total Patients Enrolled
1 Trials studying Coronary Artery Disease
2,622 Patients Enrolled for Coronary Artery Disease
William E Sanders, Jr., MD JD LLM MBA FHRSStudy DirectorAnalytics For Life

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.
Recent research and studies
clinicaltrials.govStudy
Non-invasive Point-of-care Diagnosis Using Machine Learning and Signal Analytics to Transform Early Detection of Heart Disease
2018. "Non-invasive Point-of-care Diagnosis Using Machine Learning and Signal Analytics to Transform Early Detection of Heart Disease". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT03864081.
All > Heart Disease
~395 spots leftby May 2025
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