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In Our May Digital Issue:

FEATURED

Data Integrity Amid Pandemic
Craig McLendon
Regulators are urging the use of data monitoring committees to support clinical trial management and decision-making during the COVID-19 outbreak.

RBQM in Action: A Case Study
Johann Proeve, PhD
A review of the effectiveness of one company’s training and educational program in helping to initiate rollout of risk-based quality management practices.

Bridging the Gaps in CAPA Planning
Linda B. Sullivan
Leveraging approaches in connecting RBQM and corrective and preventive action (CAPA) in clinical trials to enable real-time learning about existing risks, along with ongoing identification of emerging issues and potential threats.

The Central RBM Advantage
Sheelagh Aird
Implementing centralized risk-based monitoring can help sponsors meet strict GCP requirements for study conduct, oversight, and data recording and reporting.

NEWS

Washington Report: Jill Wechsler on the concerns around coordinating multiple and potentially overlapping COVID R&D projects.

EU Report: Peter O’Donnell details the EMA’s push to speed up coronavirus research through information-sharing.

Q&A: Physician scientist-turned entrepreneur discusses the adoption of remote, decentralized, and virtual trials and the likely new landscape post-pandemic.

FROM THE EDITOR

COVID Overload in Research
Lisa Henderson
With the onslaught of coronavirus-specific information, databases and trackers, registries, and other tools out there, the challenge in store is integrating these resources to aid clinical care response and drug intervention in real-time.
CLOSING THOUGHT

New Evidence Methods Necessary
Ülo Palm, MD, PhD, Iya Khalil, PhD
As the current global crisis shows, there is an urgent need for statisticians, mathematicians, and computer and data scientists to collaborate on modern methods for “substantial evidence” generation in drug development.
View the digital Issue
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BLOGS
COVID Vaccine Clinical Trials Require Fast Decisions, But No Shortcuts
Save Sites Now to Preserve the Future of Clinical Trials
Second ‘Cures’ Bill Promotes Pandemic Preparedness
WEBCAST
Using AI to Improve Clinical Trial Efficiency and Optimization
Learn how machine learning can deliver business intelligence before starting a clinical study and how these tools can be leveraged now to improve daily activities for clinical research staff.

If you would like to submit an article to Applied Clinical Trials, contact Lisa Henderson, Editorial Director - lhenderson@mjhlifesciences.com

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