Simulation-based medicine is our primary research interest. Our focus areas include i) the development of platforms to promote translational use of computational modeling, and ii) the casual relationship between the biomechanics of the higher levels of the biological system (body and organ) and the micromechanics of tissues and cells. Relevant to the former, our team has been providing computational solutions to address practical problems in the clinics. Our expertise has been used in many applications, from insole design for patients with diabetes to evaluation of trochlear osteotomy. As part of the latter research area, we couple simulation domains and spatial scales of musculoskeletal biomechanics and tissue mechanics to explore healthy and diseased function of the human body. We managed to adequately and cost-effectively couple musculoskeletal movement simulations and tissue deformations. Our current work is focused on coupling simulations of tissue deformations with those of the cells. This requirement became evident since mechanically induced cellular function and damage, as seen in osteoarthritis (a debilitating disease estimated to influence 26.5 million people only in the US), can be predicted by establishing the pathway from body level mechanical forces. Preventive procedures and interventions can be designed to accommodate dysfunction of this mechanical pathway.
In other words ...
The aging process and debilitating diseases such as osteoarthritis affect many aspects of the mechanical function of the human body: from the way we move to how our muscles, joints, tissues, and cells accommodate the loading exerted on the body during daily activities. Our research program develops state-of-the-art computational representations of the human body to understand how movement patterns and loads on the joints reflect on the deformation of tissues and cells. Through modeling and simulation, we test management strategies to accommodate dysfunction that may occur within the whole musculoskeletal system. Our team also provides cost-effective and efficient tools and interfaces to support diagnostics, decision-making, treatment and intervention design in other disciplines of medical care, i.e., simulation-based stent design and assessment for cardivovascular care.
Noble C, Carlson KD, Neumann E, Dragomir-Daescu D, Erdemir A, Lerman A, Young M. Patient specific characterization of artery and plaque material properties in peripheral artery disease. J Mech Behav Biomed Mater. 2020 Jan;101:103453. doi: 10.1016/j.jmbbm.2019.103453. Epub 2019 Sep 27.
Schimmoeller T, Neumann EE, Nagle TF, Erdemir A. Reference tool kinematics-kinetics and tissue surface strain data during fundamental surgical acts. Sci Data. 2020 Jan 15;7(1):21. doi: 10.1038/s41597-020-0359-0. PMCID: PMC6962378
Schimmoeller T, Neumann EE, Owings TM, Nagle TF, Colbrunn RW, Landis B, Jelovsek JE, Hing T, Ku JP, Erdemir A. Reference data on in vitro anatomy and indentation response of tissue layers of musculoskeletal extremities. Sci Data. 2020 Jan 15;7(1):20. doi: 10.1038/s41597-020-0358-1. PMCID: PMC6962198
Sibole, S. C. and Erdemir, A. (2012) Chondrocyte deformations as a function of tibiofemoral joint loading predicted by a generalized high-throughput pipeline of multi-scale simulations, PLoS ONE, 7, e37538. PMCID: PMC3359292
Halloran, J. P., van Donkelaar, C. C., Sibole, S., van Turnhout, M. C., Oomens, C. W. J., Weiss, J., Guilak, F. and Erdemir, A. (2012) Multiscale mechanics of cartilage: potentials and challenges of coupling musculoskeletal, joint, and microscale computational models, Annals of Biomedical Engineering, 40, 2456-2474. PMCID: PMC3469753
Young, M., Erdemir, A., Stucke, S., Klatte, R., Davis, B. and Navia, J. (2012) Simulation based design and evaluation of a transcatheter mitral heart valve frame, Journal of Medical Devices, 6, 031005. PMCID: PMC3557846
Erdemir, A., Guess, T. M., Halloran, J. P., Tadepalli, S. C. and Morrison, T. M. (2012) Considerations for reporting finite element analysis studies in biomechanics, Journal of Biomechanics, 45, 625-633. PMCID: PMC3278509
Computational modeling and simulation have long been used in research and engineering, and are increasingly employed to predict the origin and spread of diseases.
Ahmet Erdemir, PhD, Department of Biomedical Engineering, has received a 4-year, $3.5 million grant from the National Institute of Biomedical Imaging and Bioengineering (part of the National Institutes of Health) to develop a software suite that will allow the annotation of virtual anatomy.