This is an exciting time in neurology, as advances in digital phenotyping provide us with new ways of characterizing and understanding health and disease.
Digital phenotyping as a process taps into the data streams captured by everyday devices and sensors, via internet and cloud services. These devices can include smartphones, watches, personal computers, and voice assistants, and have the potential to provide useful, personalized information on motor and cognitive function.1
The potential is great in helping us to accurately identify individuals in pre-symptomatic stages of neurological disease, such as Parkinson’s or dementia. It can also inform the development of therapeutics, and how we select treatments for specific patients.