Tools4Patient Develops Predictive Model of the Placebo Response in Parkinson's Disease
Tools4Patient presented data at the MDS Congress 2021 that predicted the placebo response in Parkinson's disease (PD) in a multi-center, multi-national clinical study. This approach–called Placebell©™–to mitigate the negative impact of the placebo response is an effective tool to increase study power of randomized clinical trials (RCTs), resulting in increased success rates and decreased clinical trial timelines and cost.
The predictive, multivariate Placebell model is based on patients' psychological traits and other factors associated with the placebo response (e.g., baseline PD intensity). For this study, 94 subjects with mild to moderate PD received placebo treatment for 3 months in a blinded administration. The placebo response was measured by: MDS-UPDRS part III (primary endpoint); MDS-UPDRS part I, II and IV; IGAC, PGAC; PDQ-39 (PD questionnaire); ESS (Epworth Sleep Scale); FSS (Fatigue Severity Scale). Tools4Patient's proprietary Multidimensional Psychological Questionnaire (MPsQ) was administered once (at baseline) and was used to assess various psychological traits related to the placebo response.
Read more about the presentation and model 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.
