01.16.23 -- 2 Straightforward Ways To Improve DE&I In Trials

When the COVID-19 pandemic hit in the spring of 2020, many companies were unprepared for the changes that were about to impact their studies. Astellas is one company that was better prepared than most. The company had initiated a formalized, internal project on decentralized clinical trial (DCT) technologies and their use in clinical trials about nine months prior to the pandemic.

A patient-centric approach results in trial participants who are more likely to both consent for and complete a clinical study. Read more about recent changes in industry requirements and some of the important patient-centric techniques and strategies that are gaining visibility across the industry.

In this brief roundtable session, patient advocates are interviewed to voice their views on decentralized clinical trials.

We don’t have to wait for federal guidance, additional DHT, or new innovations. We have the tools to begin to address the lack of trust and limited data and incorporate them into diversity plans for clinical trials today. Here's how.

Patient enrollment and retention for investigational trials are notoriously difficult. How is enrollment affected when there is no direct benefit to the patient? Find out here.

Learn why Trialbee Honey results in 75% greater quality of patients when it comes to enrollment.

A few decades ago, the development of global clinical research that integrates low- and middle-income countries was considered a dream. Now it is a pressing need. This article discusses the history of vaccine research in Latin America, how the region could help solve the vaccine clinical trial diversity problem in the U.S., and why the region is a desirable destination for such clinical research. 

Learn how an experienced central laboratory project initiation team can expertly support the planning, designing, and setting up of clinical projects with multiple testing locations.

Watch this video to learn more about Q² Solutions' genomics laboratory capabilities and follow the journey of a sample from accessioning to data analysis and delivery.