CoBi Core

Upcoming Events

BME FOCUS SESSION
"C/EBP Transcription factors: Participants in the cause and the cure of sun-induced skin cancer"
Sanjay Anand, Ph.D.
Research Associate 
Maytin Lab
Friday, September 26, 2014











 

Simulation of biological systems has prospects for the evaluation of normal and diseased conditions, identification of the underlying mechanisms of biological function, and prediction of surgical and rehabilitative outcomes. When experimentation is limited due to feasibility and safety, computer simulations are likely to provide insight. Modeling can be utilized with constricted experimental data to extract biological properties that may not be measured directly, e.g. in vivo deformation characteristics of tissues. Simulations can link organ function to cell response. For example, it may be possible to establish the role of system level mechanical loading to cellular damage. Simulation tools and models can be used to assess health risks when experimentation is not safe. Estimation of electromagnetic radiation due to wireless devices illustrates such an application. Simulation-based medicine is possible by utilizing predictive nature of computational modeling. Adequacy of intravascular stent functionality can be evaluated like the performance of other cardiovascular devices, orthopedic implants and many more. Model development procedures and numerical methods are applicable in many health related research areas including but not limited to the exploration of drug delivery systems, cellular signaling and molecular processes.

In computational modeling, one searches for the representation of the essential aspects of the biological system in a usable form. While description of the system with mathematical equations provides this form, a.k.a. model, useful information is extracted by solving these equations numerically, a.k.a. simulation.  Successful realization of this process establishes virtual test beds to explore the system.

CoBi Core provides services for application specific model development and simulation platforms to complement experimental approaches. Our ultimate goals are to enrich our understanding of biological systems and to promote simulation-based medicine. Our expertise helps formulation of the biological system, including multilevel interactions among cells, tissues and organs, and simulate its response as it interacts with the environment and other systems. CoBi Core follows many national and international initiatives for biomedical computation and modeling, e.g. SimTK, Physiome, Living Human, and contributes to these efforts when possible.

CoBi Core utilizes state-of-the-art approaches among a variety of disciplines; engineering, physiology, and computer science. The research team is interested in discussions with the investigators of diverse biological disciplines to explore potential collaboration paths or simply to enjoy the excitement of scientific discovery through modeling and experimentation.

CoBi Core Capabilities

CoBi Core personnel are capable of developing high fidelity finite element representation of joints and organs supported by quality mesh generation. Finite element analyses of healthy, diseased and injured joints can be conducted under physiological loading and boundary conditions to understand mechanical dysfunction caused by pathology or trauma. Read More

CoBi Core develops software frameworks to facilitate generation of computational models. Geomata is a robust semi-automated image segmentation software. The package aids development of high quality geometric models. View Portfolio

Modeling of biological phenomena has always been an appealing research area through which an advanced understanding of physiology for further improvement of health care is possible. In computational modeling, there is the potential to explore complex interactions in biological systems. View Portfolio

Simulation of biological systems has prospects for the evaluation of normal and diseased conditions, identification of the underlying mechanisms of biological function, and prediction of surgical and rehabilitative outcomes. When experimentation is limited due to feasibility and safety, computer simulations are likely to provide insight. View Portfolio