Digital Health Monthly:
Scientific Webinar Series
Address Unmet Measurement Needs in Parkinson’s Disease with Wearable DHTs
Digital Health Monthly: Scientific Webinar Series
Sensor-based DHTs are shedding an illuminating light on how people function in their real-world environments. Drug developers, researchers, patients, and regulators are realizing the multifaceted value sensor-based DHTs can bring to clinical research.
As their adoption continues to grow, the ActiGraph team is excited to continue ‘Digital Health Monthly’, a monthly series of science-focused webinars to share the latest high-impact developments in clinical research from innovators in the digital health field. Each month, we feature brief data-driven presentations from clinical researchers, data scientists, and biostatisticians on a focused topic with dedicated time for audience Q&A. We believe that together, we can move the digital health technology field forward faster, and we are excited for this opportunity to facilitate important discussions on the latest research with members of the digital health community.
Address Unmet Measurement Needs in Parkinson’s Disease with Wearable DHTs
Patients with Parkinson’s disease (PD) experience symptoms that are highly variable day-to-day and between individuals. Continuous, real-world data from low-burden wearable devices can enable more objective and sensitive measures to adequately capture disease fluctuations and progression over time for clinical researchers studying and developing treatments for movement disorders such as Parkinson’s disease, Huntington’s disease, and Essential Tremor.
In this 45-minute webinar, we discuss the unique challenges for researchers and drug developers studying Parkinson's Disease, share the current state-of-the-art wearable DHT solutions and how they can help overcome challenges to advance treatments for this group of patients.
- Understanding cardinal symptoms of Parkinson’s disease
- Discuss the limitations of existing clinical scales and research efforts in leveraging DHTs
- Deep dive into clinically validated algorithms using continuous, remotely collected wearable DHT data to characterize symptoms in the real-world
