Big Data in Health Care - Challenges, Innovations and Implementation

Evidence-based treatments ideally suited for the individual patient emerged as the new strategy to tackle unmet medical needs. Such innovative “personalised medicine” approaches often make use of “Big Data”, so called not only for its sheer volume but also for its complexity and diversity. While Big Data have been embraced and been successfully implemented in many other sectors (such as banking or retail) already for a long time, the Health Care industry is lagging behind. Even though first promising insights have been obtained in research, the global application of Big Data in every day Health Care is still in its infancy.
Which obstacles have to be removed for a successful application of Big Data in Health Care? What can be learned from other sectors? What are the latest research finding and innovative applications that are waiting to hit the market and revolutionize diagnosis and treatment for patients? Which measures are currently taken on a national and international level to help the Health Care system undergo this fundamental change towards a personalised medicine? These questions form the basis for the programme of the 3rd International Systems Biomedicine Symposium “Big Data in Health Care – Challenges, Innovations and Implementation”

The two-day conference will integrate the entire life cycle of Big Data in Health Care and will address both achievements and breakthroughs in science, how to address the hurdles from discovery to implementation and solutions to overcome them. It aims to foster the dialogue between research performers and funders in such a way that clear recommendations and actions can be designed. Besides opinion statements and scientific presentations, ample time will be given for networking opportunities and exchange between the different stakeholders.
+ show speakers and program
Sessions:
"Hurdles to tackle"
"Making sense of complex data: Standardization & Integration"
"Big Data everywhere you go: new approaches in Big Data research"
Panel Discussion "The Doctor and Patient of the Future"
"Big Data for Diagnosis"
"No size fits it all: Big Data for personalised Medicine"
"Implementation"

Confirmed speakers:
Jay Bergeron, Pfizer
Bernard E. Bihain, Genclis
Niklas Blomberg, ELIXIR
Han Brunner, Radboud University Nijmegen Medical Centre
Stephen Friend, Sage Bionetworks
Michel Goldman, Université Libre de Bruxelles
Jan Hazelzet, Erasmus Medical Centre
Hans Hofstraat, Philips Research
Timothy J. P. Hubbard, King's College
Andrew Hufton, Nature Publishing Group
Nigel Hughes, Janssen R&D
Bartha Knoppers, McGill University
John Mattison, Kaiser Permanente
Ana Mingorance, Dravet Syndrome Foundation
Sara C. Pupato Ferrari, HOPE
Maya R. Said, Sanofi
Jonathan Sheldon, Oracle
Paulo Veríssimo, University of Luxembourg
Hartmut Voss, dievini

28 Oct - 29 Oct 2015

Munsbach
Luxembourg
meeting website