Machine Learning Frontiers in Precision Medicine

akronüüm: MLFPM2018
algus: 2019-01-01
lõpp: 2022-12-31
 
programm: H2020 - Horisont 2020
alaprogramm: MSCA - Marie Skłodowska-Curie meetmed
instrument: MSCA-ITN-ETN - Euroopa koolitusvõrgustikud
projektikonkurss: H2020-MSCA-ITN-2018
projekti number: 813533
kestus kuudes: 48
partnerite arv: 16
 
lühikokkuvõte: 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.
partneri jrk nr ja roll partneri nimi riik kontaktisik koduleht
1 koordinaator EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH Karsten BORGWARDT www.ethz.ch
2 partner UNIVERSITE DE LIEGE BE www.ulg.ac.be
3 partner MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE www.mpg.de
4 partner SIEMENS HEALTHCARE GMBH DE www.healthcare.siemens.de
5 partner Tartu Ülikool EE www.ut.ee
6 partner OU TARKVARA TEHNOLOOGIA ARENDUSKESKUS EE www.stacc.ee
7 partner FUNDACION PUBLICA ANDALUZA PROGRESO Y SALUD ES juntadeandalucia.es/fundacionprogresoysalud/index.php
8 partner UNIVERSIDAD CARLOS III DE MADRID ES http://www.uc3m.es
9 partner ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR www.armines.net
10 partner UNIVERSITE PARIS DIDEROT - PARIS 7 FR www.univ-paris-diderot.fr
11 partner QLUCORE AB SE www.qlucore.com
12 partner IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IL