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MEDA-PKD: a dynamic, real-time analytics platform for precision care in autosomal dominant polycystic kidney disease

Key takeaways

This item describes a new digital tool for tracking polycystic kidney disease. It combines patient data and research data into one platform. It is a tool description, not a report of new patient trial results.

Who did this work

Franziska Grundmann (University of Cologne) · Sita Arjune (University of Cologne) · Samer Alkarkoukly (University of Cologne) · Malte P. Bartram (University of Cologne) · Bodo Bernhard Beck (University Hospital Cologne) · Thomas R. Benzing (University of Cologne) · Volker Boehm (University of Cologne) · Katrin Bohl (University of Cologne) · Volker Rolf Burst (University of Cologne) · Martin Busch (Jena University Hospital) · Figen Cakiroglu (University Hospital Schleswig-Holstein) · Sadrija Cukoski (University of Cologne)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-10-20
https://doi.org/10.1038/s41746-026-03267-0