Phesi Inc. has announced it has entered into a collaboration with clinical AI technology company, Sensyne Health, which is making an equity investment of $10 million in Phesi. The investment will be used to accelerate Phesi’s and Sensyne’s product roadmaps.
For Phesi this means further development of its trial planning, protocol design and investigator site selection platform, featuring ClinSite. For Sensyne, this means the growth and ‘industrialization’ of its data platform and forms part of the company’s US market growth strategy. The collaboration will see Sensyne anonymized real-world evidence data set of 6.1 million patients analyzed alongside Phesi’s data, which today covers 30 million clinical trial subjects.
Together, the companies will provide an enhanced offering of clinical trial and real-world data predictive analytics, enabling life sciences organizations to quickly and safely determine the feasibility of replacing or supplementing a comparator or placebo arm with a synthetic arm.
The agreement between Phesi and Sensyne Health was completed on January 4th, 2021; Dr Gen Li, Phesi’s CEO and Founder, also becomes a strategic advisor to the Board of Sensyne.
For more information, click here.
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.