Kidney disease affects hundreds of millions of people worldwide, yet so much of what happens inside this vital organ remains difficult to see without invasive procedures. Non-invasive imaging is essential here, offering safer, repeatable ways to understand how a disease evolves and how a patient responds to treatment. That’s exactly the challenge the PERSONALISE-DKD project is working to solve, and what better place to advance it than a conference bringing together the full spectrum of imaging expertise, from MRI and ultrasound to molecular imaging and computational approaches.
Representatives of PERSONALISE-DKD were thrilled to present the project alongside 40 experts from seven countries at RWTH Aachen University’s Kármán Conference “Innovations in Non-Invasive and Computational Imaging”, three days of cross-disciplinary thinking on how imaging technologies and AI can transform the way we detect and monitor kidney disease. The potential is enormous: earlier detection, non-invasive therapy monitoring, fewer invasive procedures, and truly personalised treatment. Advancing these goals, however, requires what no single discipline can provide alone, strongly interdisciplinary teams of physicists, engineers, data scientists, and clinicians working together.
With presentations, posters, and open discussions, many featuring unpublished research, the conference created exactly that space. The collaboration is already bearing fruit: participants have begun working on a joint paper on the opportunities ahead for non-invasive and computational imaging.
The PERSONALISE-DKD consortium would like to thank the conference hosts, Prof. Michael Schaub and Prof. Peter Boor, and all contributors who made these three days so inspiring. Here’s to the collaborations that are just getting started!
