MLPM2012

Machine Learning for Personalized Medicine

 Coordinatore EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH 

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Karsten
Cognome: Borgwardt
Email: send email
Telefono: +41 613873420

 Nazionalità Coordinatore Switzerland [CH]
 Sito del progetto http://www.mlpm.eu
 Totale costo 3˙758˙056 €
 EC contributo 3˙758˙056 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-ITN
 Funding Scheme MC-ITN
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-01-01   -   2016-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Karsten
Cognome: Borgwardt
Email: send email
Telefono: +41 613873420

CH (ZUERICH) coordinator 595˙024.06
2    MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.

 Organization address address: Hofgartenstrasse 8
city: MUENCHEN
postcode: 80539

contact info
Titolo: Dr.
Nome: Richard
Cognome: Segar
Email: send email
Telefono: +49 711 689 3474
Fax: +49 711 689 3412

DE (MUENCHEN) participant 646˙888.70
3    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS - ARMINES

 Organization address address: Boulevard Saint-Michel 60
city: PARIS
postcode: 75272

contact info
Titolo: Mrs.
Nome: Florence
Cognome: Thépenier
Email: send email
Telefono: +33 1 40 51 93 85
Fax: +33 1 40 51 00 94

FR (PARIS) participant 520˙165.03
4    THE UNIVERSITY OF SHEFFIELD

 Organization address address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN

contact info
Titolo: Ms.
Nome: Joanne
Cognome: Watson
Email: send email
Telefono: +44 1142222239
Fax: +44 114 222 1455

UK (SHEFFIELD) participant 293˙324.38
5    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)

 Organization address address: 101 Rue de Tolbiac
city: PARIS
postcode: 75654

contact info
Titolo: Mrs.
Nome: Laurence
Cognome: Lomme
Email: send email
Telefono: 33143622702
Fax: 33143622701

FR (PARIS) participant 264˙216.38
6    PHARMATICS LIMITED

 Organization address address: "9 Little France Road, Edinburgh BioQuarter"
city: EDINBURGH
postcode: EH16 4UX

contact info
Titolo: Dr.
Nome: Felix
Cognome: Agakov
Email: send email
Telefono: +44 75 3249 6773

UK (EDINBURGH) participant 258˙919.88
7    Sloan-Kettering Institute for Cancer Research CORPORATION

 Organization address address: York Avenue 1275
city: New York
postcode: 10065

contact info
Titolo: Prof.
Nome: Gunnar
Cognome: Rätsch
Email: send email
Telefono: +1 6468882802
Fax: +1 6464220717

US (New York) participant 240˙675.50
8    UNIVERSITE DE LIEGE

 Organization address city: LIEGE
postcode: 4000

contact info
Titolo: Prof.
Nome: Kristel
Cognome: Van Steen
Email: send email
Telefono: +32 4 3662692
Fax: +32 4 3662989

BE (LIEGE) participant 238˙607.73
9    FUNDACION DE LA COMUNIDAD VALENCIANA CENTRO DE INVESTIGACION PRINCIPE FELIPE

 Organization address address: CALLE EDUARDO PRIMO YUFERA 3
city: VALENCIA
postcode: 46012

contact info
Titolo: Mrs.
Nome: Ana
Cognome: Alvarez
Email: send email
Telefono: +00 34 96 3289680

ES (VALENCIA) participant 234˙949.34
10    UNIVERSIDAD CARLOS III DE MADRID

 Organization address address: CALLE MADRID 126
city: GETAFE (MADRID)
postcode: 28903

contact info
Titolo: Ms.
Nome: Regina
Cognome: García Beato
Email: send email
Telefono: 34916249931
Fax: 34916249930

ES (GETAFE (MADRID)) participant 234˙949.34
11    SIEMENS AKTIENGESELLSCHAFT

 Organization address address: Wittelsbacherplatz 2
city: MUNCHEN
postcode: 80333

contact info
Titolo: Mrs.
Nome: Caroline
Cognome: Wagner-Winter
Email: send email
Telefono: +49 89 636 48325
Fax: +49 89 636 48322

DE (MUNCHEN) participant 230˙336.60

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

last    methodological    machine    data    learning    statistical    personalized    integration    progress    lack    disease    patient    decade    genetics    medicine    individual    gene    impact   

 Obiettivo del progetto (Objective)

'Over the last decade, enormous progress has been made on recording the health state of an individual patient down to the molecular level of gene activity and genomic information – even sequencing a patient’s genome for less than 1000 dollars is no longer an unrealistic goal. However, the ultimate hope to use all this information for personalized medicine, that is to tailor medical treatment to the needs of an individual, remains largely unfulfilled. To turn the vision of personalized medicine into reality, many methodological problems remain to be solved: there is a lack of methods that allow us to gain a causal understanding of the underlying disease mechanisms, including gene-gene and gene-environment interactions. Similarly, there is an urgent need for integration of the heterogeneous patient data currently available, for improved and robust biomarker discovery for disease diagnosis, prognosis and therapy outcome prediction. The field of machine learning, which tries to detect patterns, rules and statistical dependencies in large datasets, has also witnessed dramatic progress over the last decade and has had a profound impact on the Internet. Amongst others, advanced methods for high-dimensional feature selection, causality inference, and data integration have been developed or are topics of current research. These techniques address many of the key methodological challenges that personalized medicine faces today and keep it from rising to the next level.

Despite this rich potential of machine learning in personalized medicine, its impact on data-driven medicine remains low, due to a lack of experts with knowledge in both machine learning and in statistical genetics. Our ITN aims to close this gap by bringing together leading European research institutes in Machine Learning and Statistical Genetics, both from the private and public sector, to train 14 early stage researchers.'

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