Wearable data collaboration gives AbbVie insight into MS trials

By Maggie Lynch

- Last updated on GMT

(Image: Getty/Zerbor)
(Image: Getty/Zerbor)
AbbVie is collaborating with MC10 to use its wearable system to gather insights on possible metrics and digital biomarkers that can be applied to MS trials.

The healthcare technology company will partner with AbbVie in an aim to examine data collected from MC10’s BioStamp nPoint system as potential insights into multiple sclerosis (MS) clinical studies.

Ben Schlatka, CEO of MC10 told us that the BioStamp nPoint system is a wearable that continuously collects physiological data outside of the clinic. This system, “enables a more complete picture of a subject’s health throughout a clinical trial,” he added.

The wearable has 44 endpoints generated by MC10’s algorithms and also has capabilities to collect raw sensor data from any location on the body which Schlatka said can enable the exploration of new digital biomarkers, which according to Schlatka, can provide “invaluable data related to treatment effect and quality of life.”

BioStamp nPoint is also capable of remote data collection so subjects can apply included sensors, complete daily prescribed activities, and log patient-reported outcomes while the wearable automatically uploads its collected data for analysis by the sponsor.

Schlatka told us that insights gained from this partnership can be applicable for MS trials as neurodegenerative diseases often result in a progressive loss of motor control. “Passive, continuous data collection allows for the measurement of motor control and quality of life metrics such as sleep duration and actigraphy in more natural settings,”​ he added.

Related news

Show more

Related products

show more

Saama accelerates data review processes

Saama accelerates data review processes

Content provided by Saama | 25-Mar-2024 | Infographic

In this new infographic, learn how Saama accelerates data review processes. Only Saama has AI/ML models trained for life sciences on over 300 million data...

More Data, More Insights, More Progress

More Data, More Insights, More Progress

Content provided by Saama | 04-Mar-2024 | Case Study

The sponsor’s clinical development team needed a flexible solution to quickly visualize patient and site data in a single location

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Related suppliers

Follow us

Products

View more

Webinars