Big Data and Big Science: from the LHC to personalized cancer treatment

25.10.2017 11:15 – 12:15

Modern science is characterized by the pursuit of gigantic enterprises, both conceptually and in terms of scale and infrastructure – from the search for new fundamental particles beyond the Higgs boson, to the development of personalized medicine. They all have one ingredient in common: the need to analyse large amounts of data. In this talk we will discuss which elements of traditionally data-heavy fields such as particle physics are relevant to the analysis of large-scale medical data, and vice-versa. We will then analyze how the increasing availability of digital patient data, especially medical imaging and genomics, is transforming the oncology landscape, focusing on some of the most recent studies that are paving the way towards a predictive, data-driven and patient-specific approach to cancer care.

Lieu

Bâtiment: Ecole de Physique

Grand Auditoire A
24, quai Ernest-Ansermet

Organisé par

Département de physique nucléaire et corpusculaire

Intervenants

Mireia Crispin Ortuzar, Dr, University of Cambridge, UK

entrée libre

Classement

Catégorie: Séminaire

Mots clés: Big data, Cancer treatment

Plus d'infos

dpnc.unige.ch/seminaire/annonce.html

Contact: missing email