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A digital twin is a personalized computer representation of a person's bones, muscles, joints, and nervous system. Digital twins can be used to predict the complex set of forces that act on tissues inside the human body during walking or other activities of daily living. This is important because musculo-skeletal tissues such as bone, cartilage, and tendons respond and adapt depending on the mechanical load acting upon them. When appropriate load is provided, tissue adapts and improves. Conversely, when too much or too little load is provided, tissue ruptures or atrophies. But how can we hit the ‘sweet spot’ of musculo-skeletal
tissues to maximize the benefit of rehabilitation or prevent injuries?
During this presentation I will discuss how digital twins, combined with machine learning and data visualization, can be used in real-time to provide augmented sensory feedback and enable the next generation of personalized rehabilitation and injury prevention.
Dr Claudio Pizzolato received his Bachelor and Master’s degree in mechatronic engineering from the University of Padova, Italy; and his PhD in computational biomechanics from Griffith University, Australia. Claudio is now a postdoctoral research fellow within the Disability and Rehabilitation program in the Menzies Health Institute Queensland and in the School of Allied Health Sciences, Griffith University. His research focuses on creating real-time digital twins of humans to understand the effect of movement on musculoskeletal tissue.
Applications of his research involve advanced rehabilitation, sensory augmentation, and injury prevention.
Our Sponsor this month:
AARNet Pty Ltd (APL) is the not for profit company that operates Australia's Academic and Research Network (AARNet). The shareholders are 38 Australian universities and the CSIRO.
AARNet provides high capacity Internet and other communications services for the nation's research and education community, including universities, health and other research organisations, schools, vocational training providers and cultural institutions. AARNet serves over one million end users who access the network for teaching, learning and research.
For further information, please visit: www.aarnet.edu.au (http://www.aarnet.edu.au/)
The event takes place at the Thoughtworks offices, level 19, 127 Creek Street, with official kick-off 6:00 pm.