The best way to extend life span and improve life quality is to diagnose disease early.

Recent studies and advances in A.I. have enabled accurate prediction of numerous conditions, such as neurological and cardiovascular risk, by peering into the eye with a camera and an algorithm.

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Retinal microvasculature measured through fundus images holds predictive value in screening heart attacks and strokes. Moreover, the association between the neurosensory retina structure and neurodegenerative diseases has been well-established.

Inner retinal thinning as a biomarker for cognitive impairment in de novo Parkinson’s disease

The thinning of retinal layers as measured in OCT scans can be used as a potential biomarker for the early detection of cognitive impairment in patients with Parkinson’s disease.

Detection of anaemia from retinal images

Blood-haemoglobin levels are predicted from retinal images and patient metadata using deep learning on data obtained from the UK Biobank.

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Gender, smoking status, systolic blood pressure and major cardiac events are predicted through training a deep learning model on retinal fundus images.

Potential Utility of Retinal Imaging for Alzheimer's Disease: A Review

The retina is a projection of the central nervous system, making retinal imaging a low cost, easy and non-invasive way to screen and investigate Alzheimer’s disease.

The best way to extend life span and improve life quality is to diagnose disease early. Recent studies and advances in A.I. have enabled accurate prediction of numerous conditions, such as neurological and cardiovascular risk, by peering into the eye with a camera and an algorithm.

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Inner retinal thinning as a biomarker for cognitive impairment in de novo Parkinson’s disease

Detection of anaemia from retinal images

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Potential Utility of Retinal Imaging for Alzheimer's Disease: A Review

The best way to extend life span and improve life quality is to diagnose disease early.

Recent studies and advances in A.I. have enabled accurate prediction of numerous conditions, such as neurological and cardiovascular risk, by peering into the eye with a camera and an algorithm.