#	Pagina
attuale pagina	/open-h2020/projects/205225/index.html

Opendata, web and dolomites

INVeST

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

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

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.

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

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 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.	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

List of publications.
year	authors and title	journal	last update
2019	AndrÃ¡s M JoÃ³, AnikÃ³ EkÃ¡rt, 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.