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INVeST

INdividual Vascular SignaTure: A new machine learning tool to aid personalised management of risk for cardiovascular disease

Total Cost €

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EC-Contrib. €

0

Partnership

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 INVeST project word cloud

Explore the words cloud of the INVeST project. It provides you a very rough idea of what is the project "INVeST" about.

prediction    microvascular    benefits    aid    healthy    statistical    time    multidisiplinary    imaging    signature    clinical    participating    intervention    therapies    invest    advice    tools    retinal    sensitive    personalised    provider    variation    medicine    care    classifiers    first    decision    cardiovascular    provocation    effectiveness    progress    distinguishing    asset    model    earlier    assessments    apparatus    eye    informatics    individual    science    building    predicts    describes    follow    disease    dynamic    trained    prevention    young    accurately    pathological    cvd    efficient    worldwide    health    drug    invasive    pathology    vessel    profile    report    lifestyle    detected    fellow    portfolio    person    mortality    invaluable    encompassing    diseases    vascular    started    creates    computer    mathematical    treatments    community    disability    interventions    talented    diagnoses    brings    improvements    groups    background    risk    classification    healthcare   

Project "INVeST" data sheet

The following table provides information about the project.

Coordinator
ASTON UNIVERSITY 

Organization address
address: ASTON TRIANGLE
city: BIRMINGHAM
postcode: B4 7ET
website: www.aston.ac.uk

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 United Kingdom [UK]
 Project website https://invest2.netlify.com
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-02   to  2018-09-01

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ASTON UNIVERSITY UK (BIRMINGHAM) coordinator 183˙454.00

Map

 Project objective

Health authorities in the EU have started to investigate the benefits of personalised health risk assessments and interventions in many diseases including cardiovascular disease (CVD), a worldwide leading cause of disability and mortality. Personalised health care aims at better diagnoses and earlier interventions, more efficient drug development and more effective therapies, thus providing better tools for clinical decision making and disease prevention.

The INVeST project will produce for the first time a method that creates an individual vascular signature that is sensitive enough to aid early prediction and personalised intervention in CVD as well as treatments follow-up. INVeST will be able to provide the above through the following steps: (1) by participating in a short non-invasive eye test, any person can be provided with their own INVeST report, based on which lifestyle advice can be provided by a trained healthcare provider to improve their health and (2) if risk or CVD pathology is detected and intervention is applied, INVeST can help provide a progress report on the personalised intervention effectiveness and health improvements.

The Fellow will (1) develop a mathematical model that describes each individual’s real-time retinal microvascular dynamic response to provocation, (2) identify and apply novel classifiers capable of accurately distinguishing between variation of healthy responses and pathological cases, (3) develop the mathematical apparatus, which based on the individual retinal vessel profile predicts the (individual) risk of developing CVD.

INVeST brings together a talented young Fellow with background in computer science with three well-known groups in vascular imaging, computer science and health informatics. Following INVeST, with a portfolio encompassing personalised medicine, statistical model building, classification and CVD risk prediction, the Fellow will be an invaluable asset to the European multidisiplinary research community.

 Publications

year authors and title journal last update
List of publications.
2019 András M Joó, Anikó Ekárt, Emily Scarpello, Konstantin Gugleta, Selim Orguel, Leopold Schmetterer,, Doina Gherghel
Modelling Retinal Vessel Flicker Response
published pages: , ISSN: , DOI:
2019-09-27
2018 Andras Joo, Emily Scarpello, Aniko Ekart, Doina Gherghel
Effective visualization of Retinal Vessel Analysis (RVA) data
published pages: , ISSN: , DOI:
2019-09-27

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

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