28 Apr 2021 14.30 - 30 Apr 2021 17.00Livestream
The ISGlobal Exposome Hub, the ISGlobal Severo Ochoa Programme and the ATHLETE project are running this exposome data challenge event. The aim is to promote innovative statistical, data science, or other quantitative approaches to studying the health effects of complex high-throughput measurement of exposure indicators (exposome).
The data challenge event will bring together experts from the fields of environmental epidemiology and biostatistics from around the world including Marc Chadeau-Hyam from Imperial College, one of the LongITools Partners.
Participants will be offered the opportunity to test their statistical methods of choice on a real case scenario exposome dataset. Abstracts are also invited by 8th March 2021. The dataset will include multiple health outcomes (continuous and categorical), multiple exposures, -omics and additional non-exposure variables (e.g., potential confounders).
To find out more please visit the event website.
The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...
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