P4-Endokrinologie – Kybernetische Perspektiven eines neuen Ansatzes

Endocrine diseases convey far-reaching consequences for individual health, ranging from a reduced quality of life over an increased risk of serious secondary diseases to acutely life-threatening conditions. In recent decades, endocrinology has faced considerable progress, for example in molecular biological research, assay technology and therapeutic options. However, serious gaps remain open that prevent the derivation of a unified endocrine theory and the development of a predictive, preventive, personalised and participatory medicine (P4 medicine). As a possible brick for a solution, we have developed the universal non-linear "MiMe-NoCoDI" platform for formulating cybernetic models of endocrine networks. It allows the development of mathematical "high fidelity" descriptions as well as the implementation of simulations on digital and analog computers. In addition, it provides the basis for new diagnostic procedures in the form of calculated biomarkers (structure parameter inference approach-SPINA) and approaches to therapy planning (set point optimisation and targeting-SPOT), which are superior to previous methods of clinical endocrinology. This progress paves the way for a future precision endocrinology with applications ranging from vertically integrated physiology over individually planned patient treatment to macro-strategies in the public healthcare system.