CTMS White Papers & Case Studies
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Master Protocols: Implementing Effective Treatment Adaptations
8/25/2025
From balancing treatment ratios and managing eligibility to accommodating site-specific readiness and protocol amendments, a well-designed IRT system enables seamless transitions with minimal disruption.
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Unique IRT Implementation Considerations For Personalized Medicine Trials
8/22/2025
The rise of personalized and precision medicine is reshaping the clinical trial landscape and, as the number of these specialized trials increases, so does the complexity of managing them effectively.
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How We Used Intelligent Automation to Transform Vendor Selection
7/2/2025
Discover how your small biotech can achieve faster timelines, improved cost control, and more strategic, transparent choices with a platform leveraging intelligent automation.
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Reframing Clinical Vendor Selection
7/2/2025
Explore a platform that enables seamless vendor selection as well as cross-functional collaboration with built-in templates and tailored question libraries that simplify proposal creation and review.
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The Evolution Of Technology For Safety Notifications
3/6/2025
Discover how a digital-first approach empowers sponsors to optimize safety management and drive operational efficiency in an increasingly complex, global clinical landscape.
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Flexible Integrations To Reduce Risks And Increase Efficiencies
10/4/2024
Learn how a trial team kept the blind of central lab samples and patient treatment across a Phase III and extension trial, whilst optimizing the supply chain.
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Overcoming The Top 3 Challenges In Setting Up And Managing Clinical Trials
5/21/2024
Navigating the intricacies of clinical trials demands adept handling of document management, regulatory compliance, and financial forecasting. Learn key strategies for overcoming these hurdles.
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The Impact Of Automation In The Monitoring And Reporting Process
5/21/2024
As clinical trial costs rise and ROIs decline, research teams are turning to automation to streamline monitoring and reporting processes without compromising data quality or regulatory compliance.