Machine Medicine develops AI-driven video analysis tools designed to objectively assess motor symptoms in Parkinson’s disease. The company’s platform uses standard video recordings to quantify movement patterns associated with neurological impairment. Its approach focuses on generating reproducible, clinically relevant metrics without requiring specialized hardware. Machine Medicine positions its technology within clinical care and pharmaceutical research contexts.

The technology applies computer vision and machine learning models to analyze patient movements captured on video. By extracting features related to gait, tremor, and bradykinesia, the system generates quantitative measures of motor function. These metrics can be collected repeatedly over time, enabling longitudinal tracking of disease progression or treatment response. The platform emphasizes standardization and objectivity compared to subjective clinical rating scales.

Machine Medicine targets applications in clinical trials and routine care for Parkinson’s disease. The system is intended to support clinicians and researchers by providing consistent, scalable assessment of motor symptoms. Its focus reflects broader efforts to digitize neurological evaluation through remote, data-driven measurement tools.