Keynote Address: A Systems Biology View of Complications in Organ Transplants

Transplant diagnostics encompasses a variety of tests that are interpreted by transplant physicians for the management of transplant recipients. With improving technologies available to transplant diagnostics, the data generated from each test becomes increasingly abundant. Understanding the multi-dimensional complexity of the compilation of all transplant diagnostic results in a transplant cohort requires a different approach to data analysis.
Systems biology aims to understand complex biological systems in a holistic manner. Rather than focusing on individual components of the data, systems biology examines possible interactions within networks that become evident within the data. These biological networks emerge and systems biology uses mathematical modeling of multi-omics data to represent biological processes and predict system behavior arising from perturbations to the system such as drugs or mutations.
As the founding leader of the Paris Transplant Group, Dr. Alex Loupy is a world leader on applications of artificial intelligence to multi-organ transplantation analytics and transplant diagnostics. His research has redefined our understanding of graft rejection, provided value insights into the immunologic processes active in antibody-mediated rejection, and developed prognostic tools to estimate kidney transplant survival.