Opendata, web and dolomites

TRAIN-HEAL-TH SIGNED

Empowering expectations for health and disease: Development of a pioneering training tool

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "TRAIN-HEAL-TH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT LEIDEN 

Organization address
address: RAPENBURG 70
city: LEIDEN
postcode: 2311 EZ
website: www.universiteitleiden.nl

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 Netherlands [NL]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-08-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT LEIDEN NL (LEIDEN) coordinator 150˙000.00

Map

 Project objective

Expectations about health and disease are known to directly affect health and treatment outcomes. In the EXPECT-HEALTH project, my research group is unravelling the central mechanisms of how expectations affect immune and endocrine responses and related health outcomes, through the use of pioneering multidisciplinary methods in healthy and clinical populations. Ultimate goal of gaining this knowledge is to apply it in innovative therapeutic interventions.

In order to reach this goal, an innovative multimodal training tool based on the dual expectancy learning approach (including implicit and explicit processes) proposed in the EXPECT-HEAL-TH project will be developed and brought to the pre-demonstration phase, making optimal use of new technology including implicit and explicit methods in the area of eHealth and serious gaming. I propose this proof of concept, termed TRAIN-HEAL-TH, to facilitate the design and development process in 4 stages: 1) development of innovative training tools, 2) usability and functionality testing of multimodal training tools, 3) pilot feasibility testing of multimodal training tools in relevant target populations and improving training tools based on pilot testing, and 4) evaluation of potential commercialisation opportunities.

This interdisciplinary, cross-boundary project aims to design a training tool that can be applied in healthy as well as clinical populations. The development process, including potential professional commercialisation opportunities, will be facilitated and evaluated in this study using state of the art knowledge within the field of eHealth and serious gaming. The project will result in a multimodal training tool that may be tailored to individual target populations for disease prevention and improvement of health outcomes. For the first time, the theoretical underpinnings of EXPECT-HEAL-TH are translated into innovative therapeutic tools that have potential for a broad range of societal and economic benefits.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TRAIN-HEAL-TH" 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 "TRAIN-HEAL-TH" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

RECON (2019)

Reprogramming Conformation by Fluorination: Exploring New Areas of Chemical Space

Read More  

URBAG (2019)

Integrated System Analysis of Urban Vegetation and Agriculture

Read More  

MOBETA (2020)

Motor cortical beta bursts for movement planning and evaluation: Mechanisms, functional roles, and development

Read More  
relatedResult rcn (1091173) AGGIORNATO correttamente
lastchecktime (2024-11-13 7:06:19) correctly updated