Mobile Digital Biomarkers for Identifying Progressing MS

The patent replaces traditional mechanical/physical diagnostic methods (clinical examinations and MRI investigations) with a digital sensor-based system that uses a mobile device to capture performance parameters. This substitution eliminates the need for repetitive clinical and MRI investigations while maintaining diagnostic reliability through automated, consistent digital measurements of motor function, cognitive ability, and other physiological parameters.

The patent creates a digital copy of clinical assessment functionality within a mobile device. Instead of requiring physical presence at clinical facilities for repetitive MRI and clinical examinations, the system captures digital representations of patient performance across multiple domains (motor function, cognition, physiology) that can be analyzed remotely, replacing the need for repeated physical investigations.

The patent implements continuous feedback through repeated digital assessments that track changes in performance parameters over time. The system captures baseline measurements and compares subsequent measurements to detect deviations indicating disease progression. This feedback mechanism provides reliable identification of progressing MS forms by monitoring trends in motor function, cognitive ability, and physiological parameters, filling the information gap in traditional diagnostic methods.

The patent establishes baseline performance parameters through initial digital assessments before disease progression occurs. By capturing preliminary data across multiple physiological and cognitive domains, the system creates a reference framework that enables early detection of progression when deviations from baseline are detected, allowing intervention before significant disability develops.

The patent leverages the universal nature of mobile devices that already possess multiple sensors (accelerometers, gyroscopes, cameras, microphones, touchscreens) for a single diagnostic application. Instead of requiring specialized equipment, the system repurposes existing multi-functional mobile device capabilities to capture performance parameters across motor function, cognitive ability, and physiological domains, reducing overall system complexity while maintaining diagnostic reliability.

The patent implements self-service functionality where the mobile device automatically captures performance parameters without requiring external diagnostic equipment or specialized operators. The device performs self-calibration, automated data collection, and preliminary analysis, reducing the complexity burden on healthcare systems by enabling patients to conduct assessments independently rather than requiring complex clinical infrastructure.