Projet MLFPM2018 (Horizon 2020, appel à projets 2018)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

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.

Mots clés : machine learning, data science, personalized medicine, precision medicine

Participants :
- Université Paris Cité (France) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 274802.04 €
- ARMINES (France) — Partner, beneficiary, Recherche, subvention : 274802.04 €
- Technical University of Munich (Allemagne) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université Paris sciences et lettres (France) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Carlos III University of Madrid (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 250904.88 €
- University of Tartu (Estonie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 232069.68 €
- Software Technology and Applications Competence Center (Estonie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 232069.68 €
- Siemens Healthcare (Germany) (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 147459.9 €
- Regional Government of Andalusia (Espagne) — Partner, beneficiary, Recherche, subvention : 250904.88 €
- Board of the Swiss Federal Institutes of Technology (Suisse) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 562553.28 €
- University of Liège (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 341760.0 €
- Qlucore (Sweden) (Suède) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 281982.96 €
- Université Paris Cité (France) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Pharmatics limited (Royaume-Uni) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Roche (Germany) (Allemagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- IBM Research - Haifa (Israël) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 263500.92 €
- Max Planck Society (Allemagne) — Partner, beneficiary, Recherche, subvention : 505576.8 €