Translating Data to Health

In the tradition of Lorentz workshops this interactive meeting will bring together a multidisciplinary group to review, discuss opportunities and - importantly - propose solutions to the data challenges facing translational research.

For generating practice-changing evidence that biomarker-based treatment selection improves patient outcomes, biomarker-driven clinical trials are crucial. Selection of the optimal therapy for a patient requires correct interpretation of multiple sources of biomarker data over different domains: imaging, multi-omics, patient outcome and, increasingly, real-time monitoring of patients.

The biomarker research arena moves towards an open-innovation model of close interactions between clinicians, patients, and researchers (academic and industrial). Therefore patient-centric data solutions are needed working seamlessly across organizations while effectively dealing with privacy and regulatory considerations for data.

This workshop will bring together leading disease experts with ELSI experts, data scientists, and technology developers. Focusing on the needs of biomarker researchers in academia and industry it will outline the data challenges they are facing in their day-to-day research. The anticipated output of the workshop is an outline for a set of solutions addressing the main challenging raised by these leading investigators.  This outline will be presented to research funders and policy makers in order to pave the road for future investments in this arena.