Prevention and/or early detection of non-communicable chronic diseases (NCDs) is one of the greatest challenges to current healthcare systems worldwide due to the high impact in social and economic issues of NCDs-related complications.

Based on the scientific evidence, some systemic diseases cause changes in the microvasculature of the retina. These alterations provide significant information about vascular alterations associated with Cardiovascular, Cerebrovascular or Neurodegenerative diseases. Furthermore, presence of retinal lesions provide significant information associated with several eye-related diseases such as Diabetic Retinopathy, Hypertensive Retinopathy, Age Related Macular Degeneration or Glaucoma.

Given the increasing trends of NCDs, there is a need of non-invasive and cost-effective tools for prevention and/or early diagnosis of these diseases.





RETINAL Project: Prevention and early detection of eye-related diseases



ULMA Embedded Solutions, in collaboration with several prestigious spanish healthcare institutions, have developed non-invasive and cost-effective tools with capacity for prevention and/or early detection of various diseases related to NCD complications.

The comprehensive solution is composed of a simple, reliable and cost-effective color fundus digital image capture device and several specific software modules associated to the device for a number of specific clinical applications.

Software modules for automatic quantification of retinal parameters and automatic detection of lesions of the retina are developed using Machine Learning and Deep Learning based complex algorithms.