Science 37 Publishes New Data From Oncology Clinical Research Executives
Science 37 published new data from oncology clinical research executives, indicating three-quarters of all planned new oncology study starts over the next 12 months will include elements of decentralization.
Among the findings:
- The biggest perceived challenges with traditional oncology clinical trials (including both traditional studies and agile/DCTs) are Patient Recruitment (72% of execs ranked it in their top three), Study Start-Up (55%), and Timeline/Delays (54%).
- The top three perceived benefits of using agile/DCT tools in oncology trials are Increased Patient Retention (which 67% of respondents ranked in their top three), Greater Patient Diversity (54%), and Faster Patient Recruitment (50%).
Read more about the data 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.
