You build in the 3R-Center Tübingen a core facility for microphysiological systems on. Which technological challenges must research and industry together master together?
Kromidas: A major challenge for research is the selection of the most suitable technologies and models. This includes choosing between established or commercially available platforms, biomaterials, cell types and sources, as well as determining the level of biological complexity. Our guiding principle is "as much as necessary, as little as possible", because greater complexity also means more time, cost and expertise. This selection process requires interdisciplinary know-how and careful consideration of scientific relevance and feasibility. At the same time, we develop training concepts and materials to facilitate the transfer of knowledge before scientists operate the MPS in the laboratories provided.
On the business and operational side, we are currently supported by start-up funding from the Baden-Württemberg Ministry of Science, Research and the Arts (MWK). We are currently developing a sustainable business model. This includes the acquisition of the necessary specialized infrastructure, the development of a clear usage policy and the creation of a robust operating framework to ensure easy and low-threshold access for users.
Are are there successful implementations, such as for example human tissue models for cervical cancer, in the industry and in the clinical everyday life?
Kromidas: Human tissue models such as organoids and organ-on-chip (OoC) systems are increasingly finding their way into the industry, particularly in disease modeling and drug development. Due to their expected higher transferability compared to conventional animal models, there is great interest in human-based models and many pharmaceutical companies are actively investing in this area. The first applications are also emerging in clinical practice, for example patient-based organoids are being used to support personalized treatment decisions in oncology. Although these models are not yet standard, they promise promising advances in precision medicine and are gaining increasing recognition in both regulatory and translational contexts.
Currently, cervical cancer-on-chip models are mainly used in research rather than in industry or clinical practice. Recent studies have developed advanced microfluidic platforms for modeling 3D cervical cancer tissue including the tumor microenvironment. These enable the study of tumor behavior and potential therapeutic interventions and lay the foundation for personalized medicine. Although these models are promising for future applications and are increasingly being integrated into basic research, they are not yet integrated into routine industrial processes or clinical workflows. Further research and validation is needed before such models can be more widely used in these sectors.