LSH Seminar Andre Dekker (MAASTRO clinic, Maastricht)

Prof. dr. ir. Andre Dekker (MAASTRO clinic, Maastricht)

From Big Data to Better Cancer Care – FAIR, Linked Data & Personal Health Train

Abstract:
Big data, artificial intelligence, machine learning and data science are expected to have a major impact on day-to-day cancer practice. Big data based services such as automated image segmentation, radiomics, decision support systems and literature mining are products already available to the cancer community and these are expected to rapidly change the way we practice medicine.
Since 2008 Maastricht University and MAASTRO Clinic have developed a research program on this topic. A global IT infrastructure has been developed in which cancer centers are being connected with currently up to 25 partners. The aim is to enable cross-institute, privacy-preserving, data sharing & machine learning and more efficient clinical evidence generation: a concept now commonly referred to as "Rapid Learning".
In the seminar innovative technology to extract, store and process (big) data for Rapid Learning and will be discussed.  All this data is often seen as tremendously promising and is predicted to change health care radically, but at this point in time is mostly a challenge as we keep accumulating data without a clear path to clinical applications while privacy concerns are on the rise. Methods and examples how we go from data to making a difference in lives of cancer patients will be presented. As will the methods to do this in a way that preserves the privacy of patients such as the Personal Health Train and distributed learning.