Closing the Gap in Early Detection
Parkinson’s Disease represents a significant measurement challenge in neurology. Despite billions of dollars invested in treatment development, clinical assessments still rely on brief, subjective, clinic-based observations that capture only a snapshot of symptoms.
Subtle gait and motor changes may emerge years before a formal diagnosis, yet once diagnosed, patients are monitored infrequently, leaving motor fluctuations and off-periods largely unmeasured.