Editorial: Human digital twins for medical and product engineering

Jörg Miehling; Julie Choisne; Anne D Koelewijn

doi:10.3389/fbioe.2024.1489975

Editorial: Human digital twins for medical and product engineering

Front Bioeng Biotechnol. 2024 Oct 16:12:1489975. doi: 10.3389/fbioe.2024.1489975. eCollection 2024.

Authors

Jörg Miehling¹, Julie Choisne², Anne D Koelewijn³

Affiliations

¹ Engineering Design, Department of Mechanical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
² Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
³ Chair of Autonomous Systems and Mechatronics, Department of Electrical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

No abstract available

Keywords: biomechanics; human-technology interaction; personalized musculoskeletal modelling and simulation; sensorization; state estimation.

Publication types

Editorial

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The authors wish to thank the following support given by: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Grant SFB 1483 – Project-ID 442419336 and Grant MI 2608/2-1 – Project-ID 450307023. We would like to also acknowledge the support from the New Zealand Ministry of Business Innovation and Employment catalyst grant 12 Labours.