Opendata, web and dolomites

INVeST

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "INVEST" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

TOPOCIRCUS (2019)

Simulations of Topological Phases in Superconducting Circuits

Read More  

ReSOLeS (2019)

New Reconfigurable Spectrum Optical Fibre Laser Sources

Read More  

Mel.Photo.Protect (2019)

Unraveling the Photoprotecting Mechanism of Melanin - From a Library of Fragments to Simulation of Spectra and Function

Read More