Opendata, web and dolomites


Retinal Imaging prevention and early detection of chronic diseases

Total Cost €


EC-Contrib. €






Project "RETINAL" data sheet

The following table provides information about the project.


Organization address
city: ONATI
postcode: 20560

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2016-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ULMA EMBEDDED SOLUTIONS S COOP ES (ONATI) coordinator 50˙000.00


 Project objective

'The World Health Organization (WHO) in its “Global status report on noncommunicable diseases 2014” shows that the impact of noncommunicable diseases (NCDs), also known as chronic diseases, is steadily growing. NCDs are the leading cause of death globally (68% of all deaths in 2012). The 4 main types of NCDs are cardiovascular (CVD) diseases (like cerebrovascular accidents or strokes and heart attacks), cancers, chronic respiratory diseases and diabetes. Cardiovascular diseases account for most NCD deaths (17.5 million people annually), followed by cancers (8.2 million), respiratory diseases (4 million), and diabetes (1.5 million). This proposal addresses the prevention and early diagnosis of 2 types of NCDs, Cardiovascular (CVD) diseases and diabetes, by providing health professionals a tool for automatic quantification of parameters of the retina and automatic detection of lesions of the retina, with capacity for prevention and/or early detection of various diseases. ULMA Embedded Solutions (UES) has developed a non-invasive and cost-effective tool for Automatic evaluation of Retinal Imaging Biomarkers (ARIB), which can be used in public health interventions delivered through a primary health-care approach to strengthen early detection and timely treatment of various diseases. Evidence shows that such interventions are excellent economic investments because, if applied to patients early, can reduce the need for more expensive treatment. '

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The information about "RETINAL" are provided by the European Opendata Portal: CORDIS opendata.

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