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The Linus platform allows the coordinated collection of large amounts of information about digital measurementssuch as voice, speech, gait, cognition and eye movementthat may have a bearing on brain health and lead to the identification of digital biomarkers.

Applying machine learning methods of data analysis to this rich set of measurements, together with information drawn from electronic health records, provides a composite picture with more precise metrics for evaluating the impact of potential interventions and lifestyle changes, and for offering personalized prescriptions to promote brain health.