Elsevier, Novartis Collaborate on Drug Development Safety Risk Tool
Global life sciences information analytics provider Elsevier announced a collaboration with Novartis to develop a safety margin risk assessment prediction tool, largely using Elsevier’s PharmaPendium data. The data, which includes searchable FDA and EMA drug approval documentation and packages (including Adverse Events Reports and FDA Advisory Committee meetings), and comparative drug safety, pharmacokinetic, efficacy, and metabolizing enzyme and transporter data, will be used to predict and better justify earlier in the process target selections for development related to human safety, interpretation of clinical significance, and early submission to monitor and mitigate safety risks throughout clinical drug development.
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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.
