A neural network for predicting knee contact forces from clinic-friendly data.

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Title: A neural network for predicting knee contact forces from clinic-friendly data.
Authors: Sun Y; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: yumei.sun@griffithuni.edu.au., Pizzolato C; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: c.pizzolato@griffith.edu.au., Diamond LE; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: l.diamond@griffith.edu.au., Cornish BM; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: bradley.cornish@griffith.edu.au., Saxby DJ; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: d.saxby@griffith.edu.au.
Source: Journal of biomechanics [J Biomech] 2026 Jun 15; Vol. 205, pp. 113417. Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 0157375 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2380 (Electronic) Linking ISSN: 00219290 NLM ISO Abbreviation: J Biomech Subsets: MEDLINE
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  Data: A neural network for predicting knee contact forces from clinic-friendly data.
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  Data: <searchLink fieldCode="AU" term="%22Sun+Y%22">Sun Y</searchLink>; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: yumei.sun@griffithuni.edu.au.<br /><searchLink fieldCode="AU" term="%22Pizzolato+C%22">Pizzolato C</searchLink>; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: c.pizzolato@griffith.edu.au.<br /><searchLink fieldCode="AU" term="%22Diamond+LE%22">Diamond LE</searchLink>; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: l.diamond@griffith.edu.au.<br /><searchLink fieldCode="AU" term="%22Cornish+BM%22">Cornish BM</searchLink>; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: bradley.cornish@griffith.edu.au.<br /><searchLink fieldCode="AU" term="%22Saxby+DJ%22">Saxby DJ</searchLink>; Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia; School of School of Allied Health, Sport and Social Work, Griffith University, Gold Coast, Australia. Electronic address: d.saxby@griffith.edu.au.
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  Data: <searchLink fieldCode="JN" term="%220157375%22">Journal of biomechanics</searchLink> [J Biomech] 2026 Jun 15; Vol. 205, pp. 113417. <i>Date of Electronic Publication: </i>2026 Jun 15.
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        Value: 10.1016/j.jbiomech.2026.113417
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        Text: English
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      – TitleFull: A neural network for predicting knee contact forces from clinic-friendly data.
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            NameFull: Sun Y
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              Text: 2026 Jun 15
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