The Linus platform allows the coordinated collection of large amounts of information about digital measurements—such as voice, speech, gait, cognition and eye movement—that 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.