Medidata and Labcorp Drug Development announced they have entered into an agreement using the Medidata Sensor Cloud. Medidata will receive and process medical-grade sensor data within drug, vaccine and device trials across Labcorp Drug Development’s clinical trial portfolio.
Sensor Cloud is a transformative platform for managing a broad range of sensor and digital health technology data and establishing interoperability with other clinical data sources. Launched earlier this year, Sensor Cloud integrates with the Medidata Clinical Cloud and supports remote, continuous patient data collection from both Medidata and third-party, medical-grade sensors.
In addition, Labcorp and Medidata will use Sensor Cloud to co-develop digital biomarkers across a broad array of medical devices and therapeutic areas. The goal of this collaboration is to build a library of digital biomarkers that can be used to advance therapeutic research and create new, digital diagnostics.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.