Phy-SIM: Physiological Simulation, Integration, and Modeling Toolkit

Jan 1, 2012 · 1 min read
Phy-SIM framework overview.
project

Goals

Emergence of systems biology provided a comprehensive and integrative perspective to examine the function at the system level instead of focusing on the isolated parts. Integration of multilevel and multiscale physiological models is an important requirement for such a system-based approach. Mathematical models for physiological processes have been developed in all levels from cell, up to organs and organ systems. However, little has been done in the name of integrating individual models to comprehensively study the whole system. This is due to the complexity to integrate multiscale and multilevel models of independent physiological processes. Phy-SIM aims to build a software framework where the multilevel and multiscale models for the complex biological system can be integrated. Phy-SIM provides the software tools to model, integrate and simulate models of physiological processes from tissue level up to organism level.

Highlights

  • Research highlights here…
Systems Biology
M. Cenk Cavusoglu
Authors
M. Cenk Cavusoglu
Nord Professor of Engineering
M. Cenk Cavusoglu is the Nord Professor of Engineering in Electrical, Computer, and Systems Engineering at Case Western Reserve University. He is also the director of the Medical Robotics and Computer Integrated Surgery (MeRCIS) Laboratory. His research focuses on medical robotics, haptics, human–machine interfaces, and control, spanning control, mechanism, and system design to AI-assisted interventions. He is a Fellow of AIMBE. He has led 12 federally funded projects as principal investigator, with a total budget over $12.6M, and has served on editorial boards for leading robotics and mechatronics journals. His work advances safe, precise, and intelligent robotic systems for surgery and image-guided interventions.