For more information and to register click here.
Submit your abstract here, deadline 16th April 2019.
Health data science develops and applies data-driven solutions to health and biomedical challenges to benefit patients and public health. This conference will bring together several disciplines with a common interest in applying innovative approaches and data analytics to improve population health and patient care, promote disease prevention and provide novel insights into disease pathways.
he conference will focus on molecular epidemiology, data analytics, precision/stratified medicine and the integration of multiple ‘omics into health data science. As population level and patient-based resources continue to mature (e.g. UK Biobank, Genomics England and other international efforts), and digital health technologies (wearables and sensors) are gaining rapid momentum, this meeting will provide a platform to showcase research strengths in these areas, and encourage appropriate clinical validation and novel applications of these technologies, fuelling further innovation that will benefit public health.
The meeting is relevant to a wide range of participants from multiple disciplines including those working in clinical medicine, computer science and data-analytics, digital health, epidemiology, genomics and statistics.
We welcome abstracts on all major themes of this meeting as oral or poster presentations.
Andrew Morris – Health Data Research, UK
Tianxi Cai – Harvard School of Public Health, USA
Richard Dobson – King’s College London, UK
Michael Inouye – University of Cambridge, UK
Cecilia Lindgren – University of Oxford, UK
Calum MacRea – Harvard Medical School, USA
Teri Manolio – National Human Genome Research Institute, USA
Brent Richards – McGill University, Canada