ActiGraph has announced its partnership with VivoSense to enhance secure access to regulated sensor data from patients in pharmaceutical clinical trials.

The strategic collaboration will enable both the companies to deliver support sponsor access to secure, regulated, analysed, and contextualised sensor data from patients in clinical trials.

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VivoSense is a regulatory compliant, cloud based platform used for analysing and monitoring wearable sensor data for clinical research. VivoSense, with VivoCapture, provides pharmaceutical sponsors with secure access to contextualised sensor data, metadata, and raw signals.

This platform utilizes Azure authentication and authorization, computing, and storage in a regulated sensor data warehouse.

ActiGraph’s advanced wearable activity monitoring sensors provide high levels of continuous, high-resolution physiologic data to pharmaceutical companies.

The gathered analysis of these biometric data streams play a major role in today’s clinical research and helps to increase patient enrollment inclinical trials.

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VivoSense is capable of analysing data from any biometric sensor or combination of sensors to integrate, analyse, and derive new biomarkers which withstand regulatory scrutiny.

The large physiological data-sets generated by the wearable physiological sensors are important in monitoring health and understanding the effects of new medicines and other therapies in development.

VivoSense CEO and co-founder Tabakin said: “Providing context to collected wearable sensor data empowers our clients to make better sense of the data and investigate novel disease endpoints.

“Combining ActiGraph’s world-leading activity and sleep monitoring with other physiological measures, cleaned and analyzed by VivoSense, will provide important context to all clinical trials measures.”

Based in the US, ActiGraph is a provider of medical-grade physical activity and sleep monitoring solutions for the scientific communities, while VivoSense, also based in the US, is provides wearable sensor solutions for clinical research

 

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