Glossary
Neuroanalytics
The use of data analysis and machine learning on clinical, behavioural and sensor signals to measure and predict brain health over time.
Neuroanalytics applies statistics and machine learning to signals related to the brain and nervous system — assessment scores, movement and gait measures, speech features, cognitive tests, imaging and medication records — to describe a person's neurological state and how it is changing. Where a single clinic visit gives a snapshot, neuroanalytics works on the trend.
In neurodegenerative disease (Parkinson's, Alzheimer's, mild cognitive impairment), typical goals are to track progression, identify patients who share a trajectory, surface candidate digital biomarkers, and support earlier, better-targeted care and research. The analysis depends on consistent, longitudinal capture: without clean data over time there is nothing to analyse.
Why it matters to our work
Neuroanalytics is the second half of our platform: once care workflows produce structured, de-identified records, the same data becomes the basis for progression analytics and biomarker discovery. See our neuroanalytics work.