New AiCure and Tufts CSDD Research Sheds Light on Intentional Non-adherence
A recently published study from Tufts’ Center for the Study of Drug Development and AiCure, an AI and advanced data analytics company focused on improving clinical trials, identified and quantified the scope of intentional non-adherence to clinical trial drugs. The study, entitled “Assessing the Scope and Predictors of Intentional Dose Non-Adherence in Clinical Trials,” consisted of nearly 260,000 anonymized dosing results, which were drawn from 2,796 study volunteers participating in 23 different clinical trials of nine psychiatric, neurological and neuromuscular diseases.
To see the findings, 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.
