Machine-Learning Algorithm for Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate

Study identifier:D9080C00001

ClinicalTrials.gov identifier:NCT04814680

EudraCT identifier:N/A

CTIS identifier:N/A

Study Complete

Official Title

A Non-Interventional Pilot Study to Evaluate A Machine-Learning Algorithm for Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate from Digital Retinal Images

Medical condition

Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate from Digital Retinal Images

Phase

N/A

Healthy volunteers

No

Study drug

-

Sex

All

Actual Enrollment

301

Study type

Observational

Age

35 Years - 130 Years

Date

Study Start Date: 08 Nov 2021
Primary Completion Date: 10 Feb 2022
Study Completion Date: 10 Feb 2022

Study design

Allocation: N/A
Endpoint Classification: -
Intervention Model: -
Masking: -
Primary Purpose: -

Verification:

Verified 01 Dec 2022 by AstraZeneca

Sponsors

AstraZeneca

Collaborators

IQVIA

Inclusion and exclusion criteria