[WideHealth] - Walter Maetzler,  "Digital biomarkers for chronic diseases: Lessons learned" (17/05/2022)
This online seminar is organised within the WideHealth project: https://widehealth.eu.
It will take place on Tuesday, 17.05.2022 at 16:00 CET.
The link to the meeting will be sent after you register for the event.

Title: Digital biomarkers for chronic diseases: Lessons learned

Short Bio: Walter Maetzler is full professor for neurogeriatrics and deputy director of the neurology department of the University Hospital in Kiel, Germany. His main clinical interest is on Parkinson’s disease and other disorders associated with functionally relevant movement and cognitive disabilities. He leads a research group focusing on the analysis and validation of mobile sensor technology in supervised (“lab- or clinic-based”) and unsupervised (“home-based”) assessments. He is involved as principal investigator, chief clinical investigator and workpackage leader in multiple international projects investigating the potential of mobile sensor technology to improve our understanding of disease progression and treatment response in Parkinson’s disease. Examples at a European level are IDEA-FAST, Mobilise-D, Fair-Park II and Keep Control. Currently, he serves as the co-chair of the Technology task force of the Movement Disorders Society.

Abstract: In recent years, many -wearable- digital devices have conquered the consumer and fitness market, and the medical and health industry also expected an enormous development boost from this advance. However, the results currently available on the detection of disease, its progression and therapy through such digital devices are rather disappointing. The regulatory bodies as well as many clinicians argue that this is mainly due to the fact that the development always starts from the technological, but not from the clinical, or even better, patient level. In this webinar, a large EU research project, IDEA-FAST, will be used as an example to show how informed digital and device-agnostic biomarkers can be developed for quality-of-life-relevant symptoms in various chronic diseases.
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