Our study has some limitations. Our cohort does not cover the full age range of 25 years used in the ethomic biomarker prediction. We are extrapolating beyond the age range of our population. Larger cohorts of individuals across different ambulatory status and application of the methodology in interventional trials will be essential to strengthen the points of acceptability, assessment of bias, validity and corroborate further the predictive capacity of our approach.
By combining an approach that embraces daily-life movement behavior with machine learning and ethomics, our AI biomarker provides a systematic pathway for determining when a new therapy effect occurs or weans off in real time. Focusing on natural movement behavior instead of reductionistic clinical assessments provides both greater coverage and a more robust measure of a patient’s motor capability.
FaisalLab What is the purpose of this prediction?
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