Retinal screening becomes part of a regular health checkup for early disease identification and management. Major retinal diseases such as diabetic retinopathy, glaucoma and age-related macular degeneration can now be identified in an early stage. Additionally, a retinal analysis can assess the impact of risk factors – including diabetes, smoking, obesity, high cholesterol, hypertension and inactivity – in the general population. It contributes to evidence-based population health programs. Retinal screening is valuable for predicting and preventing diseases.
We are developing software applications for retinal image analysis and disease screening. We are machine learning experts and artificial intelligence has no secrets for us. Our data analysis pipelines combine information from retinal scans with personal data for biomarker identification and characterization of disease trajectory.
Your health in the blink of an eye.
MONA DR for Diabetic Retinopathy - 150 million diabetics have diabetic retinopathy, for 30 million patients it threatens vision. International agencies advise integration of annual eye assessments with diabetes care by primary health care providers. DR screening improves quality of life and reduces healthcare burden. MONA DR is based on AI and predicts diabetic retinopathy, fast and accurate.
MONA GLC for Glaucoma - Glaucoma is a silent thief of sight. In 2020 there will be 80 million patients. It progresses undetected until the optic nerve has been irreversibly damaged, with permanent vision loss. MONA GLC is being developed for glaucoma screening.
MONA REVA for Retinal Vessel Analysis - REVA is your valuable software when you are investigating disease development and progression or when you are doing population health studies. REVA software analyses the vascular pattern of retinal images and quantifies dimensions of retinal blood vessels. These vessel widths are accepted measures to evaluate an individual’s cardiovascular risk. In addition, REVA characterizes the vascular network with an extensive set of branching characteristics, tortuosity parameters and fractal dimensions.
The retina converts the incoming light into a neural signal that is further propagated to the visual cortex for processing visual information. Simply said, the retina allows us to see the outside world.
An individual’s retina can be easily visualized with fundus photography and optical coherence tomography. These digital images can be used to identify diseases of the eye such as macular degeneration, glaucoma and diabetic retinopathy. Early disease identification and disease stages can be quantified by changes in retina landmarks (optic disc, macula, nerve fiber layers and vascular pattern) and clinical events.
The retina is an unique site for mapping nerve fiber layers and microvasculature in a fast and convenient way. Moreover, retinal anatomical structures shows homology with the ones found in the heart and brain. Systemic diseases cause parallel changes in the retina. Epidemiological studies demonstrate that dimensions of nerve fiber layers and dimensions of retinal vessels and vessel network change in diabetes, coronary heart disease, stroke and Alzheimer’s disease. The retina is a true window to the heart and the brain.
The MONA team is a multidisciplinary team with expertise in biomedicine and life sciences, machine learning and health-IT. The MONA team is part of the Health Unit of VITO, Flanders’ research and technology organization on cleantech and sustainable development. The Health unit of VITO is an applied research group working at the forefront of research into precision medicine. It is developing biomarkers for early diagnosis, screening and prognosis. The MONA spin-off is supported by Start it @KBC.
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