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A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction

Using the resulting comprehensive set of digital measures, or digital exhaust, we further demonstrate how powerful ML based ageing-relevant digital COAs for fall risk, frailty, late-life depression, and MCI can be created. Finally, we highlight the possibility to leverage a digital exhaust to discover new potential digital biomarkers, demonstrating how a comprehensive systems approach could also help in establishing new phenotypes of health and disease.


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