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For those working in biomechanics with clinical application, this session is for you
"From models to decision - How musculoskeletal, or statistical, models may inform clinical decision making" at the 8th World Congress of Biomechanics, to be held in Dublin, Ireland, July 8-12, 2018
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Submission Deadline: 4 January 2018
Submission Details: http://wcb2018.com/call-for-abstracts/
Choose sub-track “Musculoskeletal” => “From models to decision - How musculoskeletal, or statistical, models may inform clinical decision making”
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++ Session Chairs ++
Dr. Elyse Passmore, The Royal Children’s Hospital Melbourne, Australia
Dr. Julie Choisne, The University of Auckland, New Zealand
++ Invited Speakers ++
Dr. Morgan Sangeux, The Royal Children’s Hospital Melbourne, Australia
Talking about “Statistical and musculoskeletal models to support decision making in orthopaedics”
Dr. Jennifer Hicks, National Center for Simulation in Rehabilitation Research at Stanford University
Talking about “Allies or adversaries? The role of biomechanics and data science in improving mobility”
++ Synopsis and Scope ++
Researchers in biomechanics tend to work in university-based laboratories. As a result, research in biomechanics has benefitted clinical reasoning through the provision of general concepts on a range of topics, such as the dynamics of the musculoskeletal system, the mechanical properties of biological tissues, or prosthetics and orthotics designs.
General concepts and results are incredibly useful, but clinical decisions are made by clinicians in clinical settings, to help individuals. Biomechanical methods will need to move outside university laboratories to fully exploit their potential to inform the clinical decision-making process.
Many challenges need to be tackled for biomechanical methods to inform clinical decision making. For example (this list is non-exhaustive):
This session aims to attract communications that tried to address these challenges, and to showcase research and initiatives to inform clinical decisions using biomechanics, or gait/movement analysis data.
The session should be of interest to a wide audience, including clinicians and researchers in biomechanics of all experiences.
"From models to decision - How musculoskeletal, or statistical, models may inform clinical decision making" at the 8th World Congress of Biomechanics, to be held in Dublin, Ireland, July 8-12, 2018
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
Submission Deadline: 4 January 2018
Submission Details: http://wcb2018.com/call-for-abstracts/
Choose sub-track “Musculoskeletal” => “From models to decision - How musculoskeletal, or statistical, models may inform clinical decision making”
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
++ Session Chairs ++
Dr. Elyse Passmore, The Royal Children’s Hospital Melbourne, Australia
Dr. Julie Choisne, The University of Auckland, New Zealand
++ Invited Speakers ++
Dr. Morgan Sangeux, The Royal Children’s Hospital Melbourne, Australia
Talking about “Statistical and musculoskeletal models to support decision making in orthopaedics”
Dr. Jennifer Hicks, National Center for Simulation in Rehabilitation Research at Stanford University
Talking about “Allies or adversaries? The role of biomechanics and data science in improving mobility”
++ Synopsis and Scope ++
Researchers in biomechanics tend to work in university-based laboratories. As a result, research in biomechanics has benefitted clinical reasoning through the provision of general concepts on a range of topics, such as the dynamics of the musculoskeletal system, the mechanical properties of biological tissues, or prosthetics and orthotics designs.
General concepts and results are incredibly useful, but clinical decisions are made by clinicians in clinical settings, to help individuals. Biomechanical methods will need to move outside university laboratories to fully exploit their potential to inform the clinical decision-making process.
Many challenges need to be tackled for biomechanical methods to inform clinical decision making. For example (this list is non-exhaustive):
- How to collect the required biomechanical/movement analysis data in clinical settings, either in large metropolitan centres, or in small community-based centres, or even at the patients’ home?
- How to create patient-specific models of the biomechanical system(s) using equipment available in clinical settings, at a reasonable cost?
- How to communicate the results, and limitations, of the models to clinicians?
This session aims to attract communications that tried to address these challenges, and to showcase research and initiatives to inform clinical decisions using biomechanics, or gait/movement analysis data.
The session should be of interest to a wide audience, including clinicians and researchers in biomechanics of all experiences.