Enoda provides real-world mobility data for companies developing therapies for mobility loss. Using a single wearable sensor, Enoda generates digital mobility outcomes such as walking speed and cadence, providing a cost-effective and robust solution for clinical trials and remote patient monitoring. This data helps researchers and clinicians understand the impact of treatments and monitor patient health.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for assessing patient mobility often rely on infrequent, clinic-based evaluations, failing to capture the nuances of real-world movement patterns. This limitation hinders the comprehensive understanding of treatment efficacy and the ability to remotely monitor patient health in everyday living conditions.
Solution
Enoda provides an end-to-end solution for capturing and analyzing real-world mobility data using a single wearable sensor. The sensor, worn on the lower back for up to 7 days, collects continuous movement data in a patient's daily environment. Enoda's proprietary algorithms process this raw data to identify walking bouts and measure parameters such as gait speed, steps, and turn duration. The data is then aggregated to produce Digital Mobility Outcomes (DMOs), providing clinically meaningful insights into a patient's mobility. Enoda's platform also supports the capture of electronic clinical outcome assessments (eCOAs) and electronic case report form (eCRF) data, offering a comprehensive data capture and reporting solution for clinical trials and remote patient monitoring.
Target Audience
Enoda's primary customers are pharmaceutical companies, clinical research organizations, and healthcare providers conducting clinical trials or implementing remote patient monitoring programs for conditions impacting mobility.
Features
- Single wearable sensor worn on the lower back for up to 7 days of continuous data collection
- Algorithms to identify walking bouts and measure gait parameters (speed, steps, turns, duration)
- Generation of Digital Mobility Outcomes (DMOs) that reflect real-world mobility
- Support for capturing eCOA and eCRF data alongside sensor data
- End-to-end solution including sensor logistics, data upload, processing, and reporting
- Expertise derived from leading roles in the Mobilise-D project, ensuring high-quality data capture and interpretation
- Algorithms technically validated across conditions such as Proximal Femur Fracture, COPD, Parkinson's, Multiple Sclerosis, and Congestive Heart Failure