Model the mechanics. Explore the healing.

OSORA combines image-based computational models, mechanobiological simulation and data-driven prediction.

From case information to a digital model

Imaging, information about the fracture and fixation, and the loading scenario define the starting point. Geometry and material assumptions are translated into a model that represents the question to be explored.

Postoperative femur radiograph, matching opaque model, and cutaway model with intramedullary nail
Postoperative femur radiograph, matching opaque model, and cutaway model with intramedullary nail.

Mechanics shape healing. Healing changes the mechanics.

Local mechanical conditions influence how tissue develops. As the tissue changes, the mechanical environment changes with it. Repeated simulation steps explore this feedback over the healing period.

Three identical anterior femur views showing simulated tissue development around an unchanged fracture geometry
The simulation predicts how the callus grows and eventually bridges the fracture gap.

Compare scenarios, not just snapshots

A practical question is whether more weight bearing can be permitted without causing excessive movement at the fracture or high implant stress. The model keeps the fracture and fixation the same, changes only the loading level, and follows how the resulting mechanical conditions may influence consolidation.

Two matching cutaway femur models comparing fracture movement, implant stress, and consolidation under lower and higher loading
Higher loading (right) produces more gap movement and implant stress; excessive mechanical conditions can delay consolidation.

Built on research. Interpreted with context.

What the model can explore

Controlled scenarios can show how changes in fixation, loading or assumptions influence the simulated result.

What remains contextual

Results depend on input quality and the chosen model. They support research and discussion; they do not establish validity for every patient or replace clinical judgement.

Publications and scientific foundations

  • 2026

    Predicting Nonunion: A hybrid machine learning model combining patient factors and mechanobiological simulation features exceeds clinician accuracy

    Armbruster, J. et al. (2026)

    Accepted for publication in Bone & Joint (forthcoming)

  • 2026

    Synergies between spaceflight research, bone healing models and digital twins

    Arnegger, A., Niemeyer, F., (2026)

    45th Annual Meeting of the International Society for Gravitational Physiology, Cologne, 2026

  • 2026

    Evolving Simulation-Based Education in Trauma Care: A User-Perspective on Implementation Requirements

    Arnegger, A., Niemeyer, F., Mendel, T. (2026)

    In: Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery , vol 8, pages 21-25

    View publication
  • 2025

    Can fracture healing simulations improve clinical non union risk assessment? A retrospective study in 98 patients

    Niemeyer, F., Armbruster, J., Engelhardt, L., Arnegger, A., Reiter, G., Grützner, P., Freischmidt, H. (2025)

    30th congress of ther European Society of Biomechanics, Zurich, 2025

  • 2025

    The Power of Heuristics in Predicting Fracture Nonunion

    Armbruster, J., Steinhausen, E., Hackl, S., Reumann, M., Stengel, D., Niemeyer, F., Reiter, G., Grützner, P., Freischmidt, H., (2025)

    in: J. Clin. Med., 2713

    View publication
  • 2025

    Does helical plating for proximal humeral shaft fractures benefit bone healing? – an in silico analysis in fracture healing: Fracture healing simulation of helical plating for humeral fractures

    Halbauer, C., Capanni, F., Engelhardt, L., Paech, A., Knop, C., Merkle, T. and Da Silva, T. (2025)

    Biomedical Engineering / Biomedizinische Technik., 2025

    View publication
  • 2024

    Predicting non-unions in tibial shaft fractures: Can digital twins contribute to a reliable prognosis?

    Armbruster, J, Engelhardt L, et al.

    Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU), Berlin 2024

  • 2024

    Case Studies of a Simulation Workflow to Improve Bone Healing Assessment in Impending Non-Unions

    Maisenbacher, T.C.; Libicher, S.; Erne, F.; Menger, M.M.; Reumann, M.K.; Schindler, Y.; Niemeyer, F.; Engelhardt, L.; Histing, T.; Braun, B.J.

    J. Clin. Med. 2024, 13, 3922.

    View publication
  • 2023

    Computer-Based Mechanobiological Fracture Healing Model Predicts Non-Union of Surgically Treated Diaphyseal Femur Fracture

    Degenhart C, Engelhardt L, Niemeyer F, et al.

    J. Clin. Med. 2023, 12 (10), 346

    View publication
  • 2023

    An innovative web-based learning platform for improving knowledge and skills in fracture healing simulation in application to literature comparison of in-vivo data

    Engelhardt L et al

    X International Conference on Computational Bioengineering, Vienna 2023

    View publication
  • 2023

    Einfluss der Mechanik auf die Pseudarthrosenentstehung und Ausheilung – ein zweischrittiges Simulationsverfahren für Screening und Detailanalyse

    Braun B, Histing T

    Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU), Berlin 2023

    View publication
  • 2023

    The translational perspective

    Engelhardt L

    Invited Talk on the ORS ISFR Meeting 2023, Dallas

    View publication
  • 2022

    Prognose des Konsolidierungszustandes operativ versorgter diaphysärer Femurfrakturen durch eine Computersimulation

    Schütze K, Engelhardt L, Niemeyer F, et al.

    Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU), Berlin 2022

    View publication
  • 2022

    Klinische Anwendung der mechano-biologischen Frakturheilungssimulation zur Prognose des Konsolidierungszustandes operativ versorgter diaphysärer Femurfrakturen

    Engelhardt L, Niemeyer F, Degenhardt C, et al.

    Deutsche Gesellschaft für Biomechanik, Köln 2022

    View publication
  • 2021

    Simulating Metaphyseal Fracture Healing in the Distal Radius

    Engelhardt L, Niemeyer F, Christen P, et al.

    Biomechanics. 2021;1(1):29–42.

    View publication
  • 2018

    Including the Implant Degradation Process in a Fracture Healing Model

    Pietsch M, Niemeyer F, Urban K, et al.

    In: Proceedings of the 8th World Congress of Biomechanics. Dublin; 2018.

  • 2018

    Modelling the fracture-healing process as a moving-interface problem using an interface-capturing approach

    Pietsch M, Niemeyer F, Simon U, et al.

    Computer Methods in Biomechanics and Biomedical Engineering. 2018;0(0):1–9.

    View publication
  • 2018

    Simulating lateral distraction osteogenesis

    Niemeyer F, Claes L, Ignatius A, et al.

    PLOS ONE. 2018;13(3):e0194500.

    View publication
  • 2017

    Optimizing Spinal Fusion Implants Using Bone Healing Simulations

    Niemeyer F, Trautwein F, Wilke H-J, et al.

    In: Proceedings of the ORS 2017 Annual Meeting. San Diego; 2017.

  • 2015

    Numerical Simulation of Fracture Healing and Bone Remodelling

    Simon U, Niemeyer F.

    In: Simpson H, Augat P, eds. Experimental Research Methods in Orthopedics in Trauma. Stuttgart: Thieme; 2015:181–189.

  • 2014

    Adjusting Mechanoregulatory Rules for Numerical Fracture Healing Simulation from Sheep to Rat

    Steiner M, Niemeyer F, Claes L, et al.

    In: Proceedings of the 12th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering. Amsterdam; 2014.

  • 2014

    Numerical Simulation of Callus Healing for Optimization of Fracture Fixation Stiffness

    Steiner M, Claes L, Ignatius A, et al.

    Costa-Rodrigues J, ed. PLoS ONE. 2014;9(7):e101370.

    View publication
  • 2014

    Disadvantages of interfragmentary shear on fracture healing—mechanical insights through numerical simulation

    Steiner M, Claes L, Ignatius A, et al.

    J. Orthop. Res. 2014;32(7):865–872.

    View publication
  • 2014

    Using bone healing simulations to design and optimize a novel spinal fusion implant

    Niemeyer F, Bartolini L, Engelhardt L, et al.

    In: Proceedings of the 12th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering. Amsterdam; 2014.

  • 2013

    Prediction of fracture healing under axial loading, shear loading and bending is possible using distortional and dilatational strains as determining mechanical stimuli

    Steiner M, Claes L, Ignatius A, et al.

    J R Soc Interface. 2013;10(86):20130389.

    View publication
  • 2013

    A New Bone Implant Concept: AMPLIFIX – First Numerical Results of Dynamic Osseointegration Simulation

    Engelhardt L, Niemeyer F, et al.

    In: CBU 2013 proceedings: 18th International Symposium on Computational Biomechanics in Ulm, 2013.

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  • 2012

    Optimization of intramedullary nailing by numerical simulation of fracture healing

    Wehner T, Claes L, Ignatius A, et al.

    Journal of Orthopaedic Research. 2012;30(4):569–573.

    View publication
  • 2011

    Optimization of Input Parameters for Fracture Healing Simulations

    Steiner M, Claes L, Ignatius A, et al.

    In: CBU 2011 proceedings: 17th International Symposium on Computational Biomechanics in Ulm, Jürgen Salk et al. (eds.).; 2011. Available at: http://vts.uni-ulm.de/doc.asp?id=7717.

  • 2011

    A numerical model of the fracture healing process that describes tissue development and revascularisation

    Simon U, Augat P, Utz M, et al.

    Computer Methods in Biomechanics and Biomedical Engineering. 2011;14(1):79–93.

    View publication
  • 2011

    Effect of the fixator stiffness on the young regenerate bone after bone transport: Computational approach

    Reina-Romo E, Gómez-Benito MJ, Domínguez J, et al.

    Journal of Biomechanics. 2011;44(5):917–923.

    View publication
  • 2010

    Influence of the fixation stability on the healing time — A numerical study of a patient-specific fracture healing process

    Wehner T, Claes L, Niemeyer F, et al.

    Clinical Biomechanics. 2010;25(6):606–612.

    View publication
  • 2010

    Simulation of the Callus Distraction Treatment

    Niemeyer F, Wehner T, Claes L, et al.

    In: Proceedings of the 9th International Symposium on Computer Methods in Biomechanics & Biomedical Engineering. Valencia; 2010.

  • 2009

    Simulation of the nutrient supply in fracture healing

    Chen G, Niemeyer F, Wehner T, et al.

    J Biomech. 2009;42(15):2575–2583.

    View publication
  • 2006

    Simulation of the Bone Healing Process

    Simon U, Wehner T, Niemeyer F, et al.

    In: Proceedings of ACUM 2006. Stuttgart; 2006.

  • 2005

    Trabecular bone fracture healing simulation with finite element analysis and fuzzy logic

    Shefelbine SJ, Augat P, Claes L, et al.

    Journal of Biomechanics . 2005;38(12):2440–2450.

    View publication
  • 2004

    3D fracture healing model can help to explain delayed healing with interfragmentary shear movement compared to axial movement

    Simon U, Augat P, Claes L.

    In: Proceedings of the 6th International Symposium on Computer Methods in Biomechanics & Biomedical Engineering. Madrid; 2004.

  • 2002

    Dynamical Simulation of the Fracture Healing Process Including Vascularity

    Simon U, Augat P, Claes L.

    In: 13th Conference of the European Society of Biomechanics (ESB), Acta of Bioengineering and Biomechanics.Vol 4. Wroclaw, Poland; 2002.

  • 2000

    A fuzzy logic model of fracture healing

    Ament C, Hofer EP.

    J Biomech. 2000;33(8):961–968.

    View publication
  • 1999

    Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing

    Claes LE, Heigele CA.

    J Biomech. 1999;32(3):255–266.

    View publication