#	Pagina
attuale pagina	/open-h2020/projects/226653/index.html
-1	/open-h2020/projects/227678/index.html
-2	/open-h2020/projects/224498/index.html
-3	/open-h2020/projects/213031/index.html
-4	/open-h2020/per-topic/scalable/list/index.html
-5	/open-h2020/projects/215227/index.html
-6	/open-h2020/projects/212131/index.html
-7	/open-h2020/projects/220817/index.html
-8	/open-h2020/projects/220558/index.html
-9	/open-h2020/projects/208298/index.html
-10	/open-consip/fornitori/2018/profilo-01856480841/index.html

Opendata, web and dolomites

DC-ren SIGNED

Drug combinations for rewriting trajectories of renal pathologies in type II diabetes (DC-ren)

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

DC-ren project word cloud

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

prototype modulated diabetic throughput effect cardiovascular healthcare see software individual assignment repositories routine accumulation personalized resolving centric architecture pathology combinations evolution toward suboptimal patients remarkable disorders disease business route benefit pathophysiology evident diabetes demonstration expand capacity clinical perspective screening drugs comorbidities integrating tool dkd framework holding kidney care matching heterogeneity dynamical relations representation stratification guidance reducing computational clear optimized groups promise theory network presentation setting combination variability complemented molecular trial treat approved anticipate patient lack predicting disorder decision probabilistic diverse medication phenotyping generalization cohort risk prevalent consequence personalization validate drug equivalence translation repository

Project "DC-ren" data sheet

The following table provides information about the project.

Coordinator	MEDIZINISCHE UNIVERSITAT INNSBRUCK Organization address address: CHRISTOPH PROBST PLATZ 1 city: INNSBRUCK postcode: 6020 website: www.i-med.ac.at 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	Austria [AT]
Total cost	5˙968˙480 €
EC max contribution	5˙968˙480 € (100%)
Programme	1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
Code Call	H2020-SC1-2019-Two-Stage-RTD
Funding Scheme	RIA
Starting year	2020
Duration (year-month-day)	from 2020-01-01 to 2024-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	MEDIZINISCHE UNIVERSITAT INNSBRUCK MEDIZINISCHE UNIVERSITAT INNSBRUCK Organization address address: CHRISTOPH PROBST PLATZ 1 city: INNSBRUCK postcode: 6020 website: www.i-med.ac.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (INNSBRUCK)	coordinator	1˙045˙300.00
2	MEDIZINISCHE UNIVERSITAET WIEN MEDIZINISCHE UNIVERSITAET WIEN Organization address address: SPITALGASSE 23 city: WIEN postcode: 1090 website: www.meduniwien.ac.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (WIEN)	participant	948˙800.00
3	EMERGENTEC BIODEVELOPMENT GMBH EMERGENTEC BIODEVELOPMENT GMBH Organization address address: GERSTHOFER STRASSE 29-31 city: VIENNA postcode: 1180 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (VIENNA)	participant	898˙775.00
4	UNIVERSITA CA' FOSCARI VENEZIA UNIVERSITA CA' FOSCARI VENEZIA Organization address address: DORSODURO 3246 city: VENEZIA postcode: 30123 website: www.unive.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (VENEZIA)	participant	781˙405.00
5	MOSAIQUES DIAGNOSTICS GMBH MOSAIQUES DIAGNOSTICS GMBH Organization address address: ROTENBURGER STRASSE 20 city: HANNOVER postcode: 30659 website: www.mosaiques-diagnostics.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (HANNOVER)	participant	701˙050.00
6	ACADEMISCH ZIEKENHUIS GRONINGEN ACADEMISCH ZIEKENHUIS GRONINGEN Organization address address: HANZEPLEIN 1 city: GRONINGEN postcode: 9713 GZ website: www.umcg.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (GRONINGEN)	participant	554˙925.00
7	REGION HOVEDSTADEN REGION HOVEDSTADEN Organization address address: KONGENS VAENGE 2 city: HILLEROD postcode: 3400 website: www.regionh.dk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (HILLEROD)	participant	522˙987.00
8	WEIZMANN INSTITUTE OF SCIENCE WEIZMANN INSTITUTE OF SCIENCE Organization address address: HERZL STREET 234 city: REHOVOT postcode: 7610001 website: www.weizmann.ac.il contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IL (REHOVOT)	participant	515˙237.00

Map

Project objective

Diabetic Kidney Disease (DKD) is highly prevalent in type 2 diabetes, with major impact on patients and healthcare systems. The complex disorder, further modulated by cardiovascular comorbidities, presents as an accumulation of risk factors, which we treat with drug combinations. While the overall benefit of this approach is evident on a cohort level, individual patients show remarkable heterogeneity in drug response, and lack of guidance on personalized medication results in suboptimal control of the disorder. For resolving variability, we propose a new concept for personalization of drug combinations beyond the cohort-centric perspective. We improve patient stratification based on equivalence relations of clinical presentation, disease pathophysiology and drug combinations. The approach is derived from dynamical systems theory, aimed at reducing probabilistic assignment of patient-specific disease evolution and matching drug combinations. The availability of a large European repository holding DKD patients in routine care with diverse drug combinations, complemented by high-throughput screening for improving patient phenotyping, and molecular network modelling of pathology, embedded risk factor combinations and consequence of drug effect allows a systems representation of patient groups. Integrating clinical presentation and molecular architecture in a novel computational framework will establish a decision support software prototype. We will validate this tool for predicting optimized personalized drug combinations in a study using given clinical trial repositories. Demonstration will expand to other available drugs, which in combination with approved drugs promise benefit for groups of DKD patients. With a clear route toward uptake in the clinical setting, and generalization capacity of our approach to other complex disorders we foster next steps in personalization, anticipate major patient benefit, and see novel translation and business opportunities.

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

More projects from the same programme (H2020-EU.3.1.1.)

DECISION (2020)

DECOMPENSATED CIRRHOSIS: IDENTIFICATION OF NEW COMBINATORIAL THERAPIES BASED ON SYSTEMS APPROACHES

Read More

CoMorMent (2020)

Predicting comorbid cardiovascular disease in individuals with mental disorder by decoding disease mechanisms

Read More

SoNAR-Global (2019)

A Global Social Sciences Network for Infectious Threats and Antimicrobial Resistance

Read More