Research infrastructure

Systems physiology and modelling

Tampere University

Faculty of Medicine and Health Technology

Kauppi Campus

Arvo Ylpön katu 34, 33520 Tampere

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MET core facilities and services

Introduction

Computer modelling and simulations, often referred to as "in silico" methods, constitute a burgeoning field in biological and physiological research, providing a versatile toolbox. We have strong expertise in modelling the biophysical and physiological functions at various scales, spanning from individual cells to entire organs and the comprehensive level of the human body. Our competence extends to capturing the dynamics of drug effects, phenotypic alterations in diseases, and the impact of external factors, such as temperature.

The modelling techniques that we use encompass a broad spectrum, ranging from compartmental models to finite element models. This diversity allows enables different ways to account for the basic nature of spatio-temporal phenomena, geometries of the systems, and more.

Our modelling endeavors seamlessly align with the concurrent development and utilization of innovative bioelectric and biomechanical measurements devices, as well as data analysis software.

MET Core Facilities and Services

Forouzandehmehr M., Paci M., Koivumäki J.T., Hyttinen J. (2022). Altered contractility in mutation-specific hypertrophic cardiomyopathy: A mechano-energetic in silico study with pharmacological insights. Frontiers in Physiology 13, 1010786

Paci, M., Pölönen, R. P., Cori, D., Penttinen, K., Aalto-Setälä, K., Severi, S., & Hyttinen, J. (2018). Automatic optimization of an in silico model of human iPSC derived cardiomyocytes recapitulating calcium handling abnormalities. Frontiers in physiology, 9, 709.

Lenk, K., Satuvuori, E., Lallouette, J., Ladrón-de-Guevara, A., Berry, H., & Hyttinen, J. A. (2020). A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate. Frontiers in Computational Neuroscience, 13, 92.

Tervonen, A., Ihalainen, T. O., Nymark, S., & Hyttinen, J. (2019). Structural dynamics of tight junctions modulate the properties of the epithelial barrier. PloS one, 14(4).

Böttrich, M., Tanskanen, J. M., & Hyttinen, J. A. (2017). Lead field theory provides a powerful tool for designing microelectrode array impedance measurements for biological cell detection and observation. Biomedical engineering online, 16(1), 85.

Halonen, S., Kari, J., Ahonen, P., Kronström, K., & Hyttinen, J. (2019). Real-time bioimpedance-based biopsy needle can identify tissue type with high spatial accuracy. Annals of biomedical engineering, 47(3), 836-851.

Narra, N., Valášek, J., Hannula, M., Marcián, P., Sándor, G. K., Hyttinen, J., & Wolff, J. (2014). Finite element analysis of customized reconstruction plates for mandibular continuity defect therapy. Journal of biomechanics, 47(1), 264-268.