Two days of discussion and knowledge-sharing brought together researchers, clinicians, businesses, and institutions to explore the new frontiers of digital health, clinical AI, and digital twins as applied to personalized medicine.

At the heart of the discussion were the solutions developed as part of the D³4Health project for three key use cases: type 1 diabetes, multiple sclerosis, and hepatobiliary cancers.

The workshop served as an important forum for multidisciplinary discussion, confirming the value of collaboration between research, clinical practice, and industry in the development of a healthcare system that is increasingly predictive, sustainable, and data-driven.