ATTE ESKELINEN

Early Stage Researcher

Junior Researcher (Science, Technology and Computing - SCITECO)

ISB / ASB 2019 - Scroll down for link to electronic poster and animations of cartilage degradation over time

I am a PhD student with a research interest in developing an adaptive mechanobiological algorithm for prediction of osteoarthritis progression. The novel algorithm considers cartilage degradation via tissue inflammation and abnormal biomechanics. Calibration and validation of the algorithm is done against extensive experimental findings. In my research I use COMSOL Multiphysics and Abaqus for the finite element analysis.

Contact info

Organization

Faculty of Science and Forestry, Department of Applied Physics

Email

attees@uef.fi

Phone

Keywords

cartilage cytokine finite element analysis inflammation mechanical strain osteoarthritis

Research groups

Biophysics of Bone and Cartilage (BBC)

Publications

Eskelinen, ASA; Tanska, P; Florea, C; Orozco, GA; Julkunen, P; Grodzinsky, AJ; Korhonen, RK. 2020. Mechanobiological Model for Simulation of Injured Cartilage Degradation via Pro-Inflammatory Cytokines and Mechanical Stimulus PLoS computational biology 16 6: 1007998. 2020
Eskelinen, ASA; Mononen, ME; Venäläinen, MS; Korhonen, RK; Tanska, P. 2019. Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage Biomechanics and modeling in mechanobiology 18 3: 753-778. 2019