TOP 5 INSIGHTS IN CLINICAL TRIAL TECHNOLOGY
JULY EDITION
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This article takes a closer look at what placeholders are, how they work, and why they continue to be a source of both value and frustration. If your team is weighing whether or not to use them — or just wants to better understand the trade-offs — this is for you.
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Explore how artificial intelligence (AI) and machine learning (ML) hold transformative potential in pharmacovigilance (PV), with the ability to enhance the efficiency, accuracy, and timeliness of drug safety monitoring.
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take a closer look at some of the key stats in a new DCT report from the Partnership for Advancing Clinical Trials (PACT), a consortium hosted and facilitated by the Tufts Center for the Study of Drug Development (CSDD).
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Starting a new clinical study requires careful vendor selection. Use these practical, actionable steps to enhance your selection process and ensure long-term partnership alignment.
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The DTRA has released a detailed playbook to help clinical research sites use their own validated technology in sponsor-led trials. Learn how the "Bring Your Own Technology" (BYOT) model aims to reduce tech overload at sites, improve efficiency, and preserve regulatory compliance — starting with eConsent as its first use case.
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