The Virtual Physiological Human Conference (VPH2020) was held online August 24-28 with several representatives from the Mobilise-D consortium. This year, the focus was on “When models, methods & experiments meet the clinic”.

Prof. Claudia Mazzà from the University of Sheffield, Mobilise-D’s Academic Lead of WP2 – Algorithm development and technical validation, chaired the session “Monitoring & connected health”. The session illustrated how digital monitoring can be used both in the real world and at the patient’s bedside. Various conditions where digital monitoring can be beneficial were covered in this session, such as Parkinson’s Disease, diabetes and arterial stiffening.

The keynote speaker of the session was none other than Mobilise-D’s Academic Lead, Prof. Lynn Rochester from Newcastle University. Her keynote address focused on healthcare in Parkinson’s disease, and how the increasing patient population and costs, along with limited healthcare access, call for a more personalized approach using remote monitoring systems. Both the challenges foreseen and those already faced highlighted the ever increasing importance of Mobilise-D.

Our own Dr. Tecla Bonci, also from the University of Sheffield, gave an inspired presentation enlightening the audience on the missing factors for a widespread deployment of continuous mobility monitoring in clinical and research settings. She outlined how factors such as wearability and usability, concurrent validity, the data capture process, and human factors all need to be considered in order for continuous mobility monitoring to be effective.

Prof. Marco Viceconti from University of Bologna, Mobilise-D’s Academic Lead of WP5 – Regulatory, HTA and payer consensus over operational definitions, chaired two sessions at the conference; the first one, on pathophysiology, provided several examples of how in silico medicine can play a key role in the fight of the Covid-19 epidemic, while the neuro-musculoskeletal session focused on how in silico methods can be used to support clinical decisions on the outcomes of cerebral palsy, the treatment of osteoarthritis, the rehabilitation from spinal cord injuries, and the surgical treatment of craniosynostosis. The session closed with Viceconti’s keynote presentation regarding the application of in silico models for the prediction of muscle activation patterns in people with pathological conditions.