“A Quick Guide to Clinical Trials” Book Review
A brief review of “A Quick Guide to Clinical Trials,” edited by Dr. Madhu Davies and Dr. Faiz Kermain.
May 14, 2008-“A Quick Guide to Clinical Trials,” edited by Dr. Madhu Davies and Dr. Faiz Kermain, and offered by BioPlan Associates, truly lives up to its title. While it could serve as a textbook for a primer class on the clinical trials industry, the quick read would be suitable for anyone wishing to learn more about clinical trials-including people outside or inside the industry. If you are in data management, for example, and want to learn more about ethics in clinical research-or vise versa-this would be a useful resource. The book consists of 14 chapters dedicated to a different segment of the clinical trials process, each written by an industry expert. The information is up-to-date and offers personal, yet professional, insights into the current issues applicable to that segment.
For more information or to purchase, contact: www.bioplanassociates.com/quickGuides.
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.
