GSI & CICT as coupled resource for multi-scale system biology and biomedical engineering modeling

To grasp a more reliable representation of reality and to get more resilient and antifragile system development techniques, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergistically articulated by natural coupling. The Geometric Science of Information (GSI) coupled to Computational Information Conservation Theory (CICT) can offer an effective framework to develop more competitive reality modeling. The first attempt to identify basic principles to get stronger modeling solution for scientific application has been developing at Politecnico di Milano University since the 1990s. This paper is a relevant contribute towards arbitrary multi-scale systems biology, biomedical engineering and computer science modeling, to show how GSI and CICT can offer stronger and more effective system modeling solutions for more reliable and resilient simulation.