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

This is a non-interventional pilot study with the following objectives: * Establish scalable methodology for collection of retinal images, blood pressure (BP) and laboratory-based assessments * Compare the results of a machine-learning algorithm in predicting BP, glycated haemoglobin (HbA1c) and estimated glomerular filtration rate (eGFR) from digital retinal images with clinical and laboratory-based measures * Determine the required sample size needed to support a future study to fully validate the machine-learning algorithm