Gait analysis: An effective tool to mechanically monitor the bone regeneration of critical-sized defects in tissue engineering applications.
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| Title: | Gait analysis: An effective tool to mechanically monitor the bone regeneration of critical-sized defects in tissue engineering applications. |
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| Authors: | Blázquez-Carmona P; Department of Mechanical and Manufacturing Engineering, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Seville, Spain.; Instituto de Biomedicina de Sevilla (IBiS), University of Seville, Seville, Spain., Mora-Macías J; Instituto de Biomedicina de Sevilla (IBiS), University of Seville, Seville, Spain.; Department of Mining, Mechanical, Energy and Building Engineering, Escuela Técnica Superior de Ingeniería, University of Huelva, Huelva, Spain., Morgaz J; Department of Animal Medicine and Surgery, Universidad de Córdoba, Campus Universitario de Rabanales, Córdoba, Spain., Granados MDM; Department of Animal Medicine and Surgery, Universidad de Córdoba, Campus Universitario de Rabanales, Córdoba, Spain., Domínguez J; Department of Mechanical and Manufacturing Engineering, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Seville, Spain.; Instituto de Biomedicina de Sevilla (IBiS), University of Seville, Seville, Spain., Reina-Romo E; Department of Mechanical and Manufacturing Engineering, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Seville, Spain.; Instituto de Biomedicina de Sevilla (IBiS), University of Seville, Seville, Spain. |
| Source: | PloS one [PLoS One] 2023 Dec 29; Vol. 18 (12), pp. e0296510. Date of Electronic Publication: 2023 Dec 29 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0296510 |
