The Future Of Data Platforms For Digital Biomarkers Accelerating Parkinson's Disease And Movement Disorders Research

Research on Parkinson's and movement disorders is progressing at an accelerated pace. With the aid of wearables, sensors, and mobile technology, richer data sources can now supplement subjective assessments and endpoints. These innovative approaches facilitate remote data collection and enhance access to more objective, frequent, and sensitive measures of disease progression.

The COVID-19 pandemic disrupted the industry's efforts toward digital endpoint validation in several therapeutic areas. Nonetheless, achieving success demands meticulously crafted and managed data analysis platforms that evolve and expand to cater to digital biomarker development. Including new functionalities to facilitate real-time, multi-dimensional data acquisition, such as voice, gait, cognition, movement, and others, in addition to the expansion of traditional ePROs, is crucial. Platforms should not only gather data but also generate their data to drive clinical exploration further.

This webinar explores the intricacies of human factors and UX difficulties involved in creating technology for movement disorder research. Panelists from Clinical ink at the forefront of this research include Joan Severson, Chief Innovation Officer; Principal Scientist David Anderson, Ph.D.; and moderator Anna Keil, Senior Software Engineer.

By the end of the session, viewers will better comprehend the significance of real-time data collection facilitated by platforms and how to utilize AI and machine learning platforms to gain insights into disease progression and treatment.