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Webinar: What’s Working in AI-Enabled Respiratory Trials: From Recruitment to Site Readiness
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Respiratory clinical trials face growing challenges, from shrinking patient populations and complex protocols to competition for patients and sites. How can AI and digital solutions help? This webinar explores practical approaches to optimize study design, predict enrollment, reduce participant burden and detect emerging risks earlier. Discover how technology can support efficient, patient-centric trials while strengthening quality and execution. Click here to learn more.
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Designing More Representative Trials Through Strategic Planning
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White Paper | By Rachael Fones, Robert Stolper, Shahrzad Salmasi, Ph.D., Leslie Henderson-Williams, Monica Goins, and Eric Martinusen, IQVIA Safety & Regulatory Compliance
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Strategic planning for representative clinical trials improves outcomes, regulatory alignment, recruitment efficiency, and commercial value by ensuring study populations mirror real-world patients.
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The Big Idea Behind The Creation Of SIP
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From The Editor | By Dan Schell, chief editor, Clinical Leader
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Jackie Kent, Lisa Moneymaker, and Jeanette Teague were among the early architects of the Shared Investigator Platform (SIP). In part one of this four-part series, they discuss SIP’s ambitious origins, the challenges of getting competing sponsors to collaborate, and why broad adoption was critical to delivering on its promise of reducing site burden.
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Vestigo Features FAQ
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Brochure | McCreadie Group
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Enable consistent protocol execution with standardized workflows for training, monitoring, documentation, inventory, and drug accountability.
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Expert Support For Your Clinical Trial Sites
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Product | Avacare
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The Avacare team expertly supports site operational needs through a proven, turnkey research infrastructure, giving clinical staff the freedom to focus on patient care delivery.
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Representative Trials Must Look Beyond Race And Ethnicity
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Video | Clinical Leader
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Kemi Williams broadens the definition of representation to include geography, literacy, age, comorbidities, sexual orientation, gender identity, and other factors, emphasizing that trials must reflect the populations most affected by a disease.
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