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MLFPM2018 SIGNED

Machine Learning Frontiers in Precision Medicine

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "MLFPM2018" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH 

Organization address
address: Raemistrasse 101
city: ZUERICH
postcode: 8092
website: https://www.ethz.ch/de.html

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 Switzerland [CH]
 Total cost 3˙638˙275 €
 EC max contribution 3˙638˙275 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2018
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) coordinator 562˙553.00
2    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 505˙576.00
3    QLUCORE AB SE (LUND) participant 281˙982.00
4    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR (PARIS) participant 274˙802.00
5    UNIVERSITE DE PARIS FR (PARIS) participant 274˙802.00
6    IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IL (PETACH TIKVA) participant 263˙500.00
7    UNIVERSITE DE LIEGE BE (LIEGE) participant 256˙320.00
8    SIEMENS HEALTHCARE GMBH DE (ERLANGEN) participant 252˙788.00
9    FUNDACION PUBLICA ANDALUZA PROGRESO Y SALUD ES (SEVILLA) participant 250˙904.00
10    UNIVERSIDAD CARLOS III DE MADRID ES (GETAFE (MADRID)) participant 250˙904.00
11    STACC OU EE (TARTU) participant 232˙069.00
12    TARTU ULIKOOL EE (TARTU) participant 232˙069.00
13    UNIVERSITE PARIS DESCARTES FR (PARIS CEDEX 06) participant 0.00
14    UNIVERSITE PARIS DIDEROT - PARIS 7 FR (PARIS) participant 0.00
15    PHARMATICS LIMITED UK (EDINBURGH) partner 0.00
16    ROCHE DIAGNOSTICS GMBH DE (MANNHEIM) partner 0.00
17    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) partner 0.00
18    UNIVERSITE DE RECHERCHE PARIS SCIENCES ET LETTRES - PSL RESEARCH UNIVERSITY FR (PARIS) partner 0.00

Map

 Project objective

Healthcare is entering the digital era: More and more patient data, from the molecular level of genome sequences to the level of image phenotypes and health history, are available in digital form. Exploring this big health data promises to reveal new insights into disease mechanisms and therapy outcomes. Ultimately, the goal is to exploit these insights for Precision Medicine, which hopes to offer personalized preventive care and therapy selection for each patient. A technology with transformational potential in analysing this health data is Machine Learning. Machine Learning strives to discover new knowledge in form of statistical dependencies in large datasets. Mining health data is, however, not a simple direct application of established machine learning techniques. On the contrary, the emerging population-scale and ultra-high dimensionality of health data creates the need to develop Machine Learning algorithms that can successfully operate at this scale. Overcoming these frontiers in Machine Learning is key to making the vision of Precision Medicine a reality. To meet this challenge, Europe urgently needs a new generation of scientists with knowledge in both machine learning and in health data analysis, who are extremely rare at a global scale. Our ETN’s goal is 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. These scientists will help to shape the future of this important topic and increase Europe’s competitiveness in this domain, which will have severe academic and industrial impact in the future and has the potential to shape the healthcare and high tech sector in Europe in the 21st century.

 Deliverables

List of deliverables.
Central Data Repository for Open Research Data Pilot Open Research Data Pilot 2020-02-18 15:57:27

Take a look to the deliverables list in detail:  detailed list of MLFPM2018 deliverables.

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The information about "MLFPM2018" are provided by the European Opendata Portal: CORDIS opendata.

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