Rhine-Neckar Modeling Day: Innovations for the diagnostic future!

Rhine-Neckar Modeling Day: Innovations for the diagnostic future!

On October 21, 2025 will take place at the University of Heidelberg the 18th Rhine-Neckar Modeling Day took place. This important event has the theme “Modeling in the development of diagnostic procedures”. The aim is to examine the role of model-based approaches in research for the development and evaluation of new diagnostic procedures.

The modeling day will bring together more than 30 experts from science and practice to discuss current developments. The event is organized by the Interdisciplinary Center for Scientific Computing at Heidelberg University, the Heidelberg Graduate School of Mathematical and Computer-Aided Methods for the Sciences and the Department of Infectious and Tropical Medicine at Heidelberg University Hospital.

Importance of diagnostic research

The importance of diagnostic research cannot be overstated. It is crucial for medical progress as it enables early and precise disease detection and thus improves treatment decisions and increases the efficiency of healthcare systems. In view of the growing complex clinical and technological requirements, model-based approaches are becoming increasingly important.

Mathematical models provide a precise description of biological, physical and population medicine processes. You are able to assess the effectiveness, applicability and cost-benefit ratio of new diagnostic procedures at an early stage. This aspectual understanding is particularly relevant today, when technologies such as artificial intelligence (AI) and digitalization tools are revolutionizing the healthcare system Fraunhofer IKS describes.

Main topics and objectives

The modeling day will focus on several key areas. This includes physical modeling in the development of point-of-care systems, the use of artificial intelligence to predict disease progression and early detection of sepsis. In addition, the model-based evaluation of new diagnostic procedures for tuberculosis detection in high-incidence countries is discussed.

A central goal of the day is the exchange about cooperation between science and business. The aim of supporting this cooperation is to support the rapid application of research results in everyday clinical practice. The interdisciplinary perspective, which brings together experts from medicine, research and industry, is essential to address the challenges of modern medical diagnostics and to develop innovative solutions.

Digitalization, automation with artificial intelligence and the use of new technologies such as those in the event will be accepted, are crucial for optimizing healthcare offerings. Aspects such as the digital networking of patient data and the use of intelligent assistants are also discussed. The ongoing development in these areas shows the potential to sustainably transform medical diagnostics and benefit patients.