Precision Medicine and Personalized Health – New Dimensions
20 May 2016 | Kursaal, Bern
The Swiss Academy of Medical Sciences (SAMS) organised the 2016 spring conference of the Federation of European Academies of Medicine (FEAM). Leading experts reported on progress in the areas of personalised medicine and health and the big data and omics movements.
The ethical and social components of these developments and the patient’s view played an important role in the podium discussion. The programme and presentations are available in English.
Programme, report and presentations
Programme including abstracts and CVs
Report of the FEAM Spring Conference 2016
Dr Elmar Nimmesgern, Deputy Head of Unit, DG Research & Innovation E2 Innovative and Personalised Medicine, European Commission
Connecting Europe for Genomic Health
Professor Lisette van Gemert-Pijnen, Center for eHealth & Wellbeing Research, University of Twente (NL)
Big Data & Big Health: Personalized Medicine as a Paradigm Shift
Professor Manolis Dermitzakis, Department of Genetic Medicine and Development, University of Geneva (CH)
The 1000 Genomes and Genotype-Tissue Expression (GTEx) Projects: New Results and Challenges
Professor Andres Metspalu, Estonian Genome Center, University of Tartu (EST)
From Biobanking to Precision Medicine
Professor Hilary Burton, Director PHG Foundation, Cambridge (UK)
Genomics-based Personalized Prevention
Professor Michael Neumaier, Institute of Clinical Chemistry, Heidelberg University, Mannheim (D)
New Diagnostics in Personalized Cancer Medicine
Professor Oscar Yanes, CIBERDEM & Rovira i Virgili University, Tarragona (E)
Metabolomics and Personalized Medicine
Professor Effy Vayena, Health Ethics and Policy Lab, University of Zurich (CH)
The Ethics of Precision Medicine
Professor Jens Nielsen, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg (S)
Assessing the Human Gut Microbiota in Metabolic Disease
Professor Dipak Kalra, The EuroRec Institute, London (UK)
The Increasing Opportunities for using Health Data as a Tool for Clinical Research