Opendata, web and dolomites

DCPM SIGNED

Digitalized Clone for Personalized Medicine

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DCPM" data sheet

The following table provides information about the project.

Coordinator
BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM 

Organization address
address: MUEGYETEM RAKPART 3
city: BUDAPEST
postcode: 1111
website: www.bme.hu

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 Hungary [HU]
 Total cost 929˙200 €
 EC max contribution 680˙800 € (73%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2019
 Funding Scheme MSCA-RISE
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM HU (BUDAPEST) coordinator 197˙800.00
2    HOCHSCHULE FURTWANGEN DE (FURTWANGEN) participant 188˙600.00
3    UNIVERSITE DE LIEGE BE (LIEGE) participant 161˙000.00
4    EVOPRO INNOVATION KFT HU (BUDAPEST) participant 50˙600.00
5    BEKES MEGYEI KOZPONTI KORHAZ HU (GYULA) participant 46˙000.00
6    SZEGEDI TUDOMANYEGYETEM HU (SZEGED) participant 36˙800.00
7    THE UNIVERSITY OF AUCKLAND NZ (AUCKLAND) partner 0.00
8    UNIVERSITY OF CANTERBURY NZ (CHRISTCHURCH) partner 0.00

Map

 Project objective

Background: Health consumes ~10% of GDP in the OECD, and grows an unsustainable 7-11% per year, and is ~1% of GDP for intensive care alone, driven by chronic diseases and aging populations. Limited funding leads to an ‘equity gap’ in health funding, where more people go untreated, less treated (rationing), and/or rely on private insurance and care, creating and exacerbating inequality.

Problem: This labor intensive sector has not made productivity gains, and increasing demographic demand for intensive care is multiplied by a growing need for personalized, precision solutions to care.

Challenge: Reverse this trend by linking engineering, medicine, and industry to improve the quality, precision and productivity of intensive care, and create a template for other areas of care.

Objectives: Use model-based methods and novel system identification technologies to create validated virtual patient models for use in personalizing care to enhance its quality and productivity.

Proposed Solution: Tight collaboration between engineering research, clinical medicine, and industry to create, validate, and implement precision, intensive care medicine (DCPM) using in-silico virtual patients. The proposal authors are world-leaders in creating highly validated virtual patients, and translating them to clinical use to provide precision, next-generation productive, intensive care solutions. It will merge model-based methods in metabolic, cardiovascular and pulmonary systems – 3 leading causes of intensive care admission, mortality and cost - to create individual (and then combined) virtual intensive care patients to personalize care at the bedside. The consortia leverages significant research funding in 3rd country partners for model-based medical solutions. This proposed mobility optimizes this research for maximum social and economic impact in the EU and NZ – Doing medicine better via inter-disciplinary, in-silico solutions to productivity in intensive care.

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

More projects from the same programme (H2020-EU.1.3.3.)

OCSEAN (2020)

OCeanic and South East Asian Navigators.

Read More  

GreenX4Drug (2019)

Green Enantioselective Halogenation for Drug Discovery and Manufacture

Read More  

MENHIR (2019)

Mental health monitoring through interactive conversations

Read More