Diabetes remains a public health challenge of epidemic proportions. Modern treatment algorithms are evolving to recommend greater focus on personalized approaches to diabetes care. However, as diabetes remains a disease characterized by excess elevation of a plasma biomarker, glucose, further refinement of our understanding of the disease and its comorbidities is required to provide optimal guidance for precision medicine. Advancement of research technologies and the ability to handle large data sets have enabled systems biology approaches to unravel different etiologies and pathophysiological consequences of diabetes. Future diabetes discovery efforts will focus on pairing knowledge about genetic risk and environmental triggers of diabetes-associated pathologies. Using deep phenome characterization and molecular network analyses diabetes, researchers will be able to launch modern translational approaches to diabetes care innovation. The objectives of the conference are to provide directional guidance for future pressure points of diabetes care and focus on specific diabetes complications representing particular unmet needs. Further, cutting-edge discoveries of genetic risk determinants and their molecular mechanisms will be presented together with lively debates about the translatability of such insights into novel curative therapies.