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UID:news560@dbe.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260921T142034
DTSTART;TZID=Europe/Zurich:20261015T163000
SUMMARY:Combining medical imaging and biomedical data to model the human mu
 sculoskeletal system
DESCRIPTION:AbstractOver the last decade\, the development and use of Digit
 al Twins for Healthcare (DTH) have increased enormously. The growing avail
 ability of data\, particularly medical imaging data\, has certainly contri
 buted to this trend\, making it possible to generate more anatomically acc
 urate models. However\, to date\, developing a digital replica of the huma
 n musculoskeletal system remains challenging. For a digital twin to be phy
 siologically plausible\, it is not always just about the anatomy. In this 
 talk\, I will walk you through my journey towards the development of Digit
 al Twins for Healthcare\, highlighting some of the works my collaborators 
 and I have carried out over the past few years.\\r\\nBiosketchBiomedical e
 ngineer by training\, Giorgio completed his PhD in musculoskeletal biomech
 anics at Griffith University and continued his post-doctoral research at t
 he University of Bologna in the InSilicoMedicine group led by Prof. Viceco
 nti. His research focuses on the development of personalized musculoskelet
 al models and on the use of different approaches to model suboptimal or ab
 normal muscle control\, which include EMG-assisted and stochastic approach
 es\, to better understand and study neuromusculoskeletal conditions (such 
 as cerebral palsy or age-related muscle disorders).
X-ALT-DESC:<p><strong>Abstract</strong><br />Over the last decade\, the dev
 elopment and use of Digital Twins for Healthcare (DTH) have increased enor
 mously. The growing availability of data\, particularly medical imaging da
 ta\, has certainly contributed to this trend\, making it possible to gener
 ate more anatomically accurate models. However\, to date\, developing a di
 gital replica of the human musculoskeletal system remains challenging. For
  a digital twin to be physiologically plausible\, it is not always just ab
 out the anatomy. In this talk\, I will walk you through my journey towards
  the development of Digital Twins for Healthcare\, highlighting some of th
 e works my collaborators and I have carried out over the past few years.</
 p>\n<p><strong>Biosketch</strong><br />Biomedical engineer by training\, G
 iorgio completed his PhD in musculoskeletal biomechanics at Griffith Unive
 rsity and continued his post-doctoral research at the University of Bologn
 a in the InSilicoMedicine group led by Prof. Viceconti. His research focus
 es on the development of personalized musculoskeletal models and on the us
 e of different approaches to model suboptimal or abnormal muscle control\,
  which include EMG-assisted and stochastic approaches\, to better understa
 nd and study neuromusculoskeletal conditions (such as cerebral palsy or ag
 e-related muscle disorders).</p>
DTEND;TZID=Europe/Zurich:20261015T173000
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