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About This Webinar

As clinical trials grow more complex, study teams face increasing challenges in managing data quality, integration, and regulatory compliance. The use of AI and machine learning (ML) is transforming how clinical data is collected, analyzed, and acted upon, enabling more efficient and insightful trial management

Agenda
  • How AI enhances data surveillance, quality, and integration for actionable insights
  • Practical approaches to meeting regulatory requirements while optimizing trial execution
  • Real-world case studies showcasing how AI and CRO expertise: Address common pain points , reduce risks and Improve overall study outcomes
When: Monday, June 23, 2025 · 6:00 p.m. · Jerusalem
Duration: 1 hour
Language: English
Who can attend? Everyone
Dial-in available? (listen only): No
Featured Presenters
Webinar hosting presenter
Senior Vice President, Data Experience
Wayne is Senior Vice President, Rave Platform Technology (including Rave EDC, Medidata Clinical Data Studio, Medidata Designer, Rave Imaging, Rave RTSM, Rave Coder, and Rave Safety Gateway) at Medidata. His responsibilities include the strategy, development, and delivery of these products across all Research & Development disciplines. Before joining Medidata, Wayne spent 12 years overseeing Product Management for clinical technology used by Data Management and Biometrics at PRA Health Sciences, which included oversight of Platform as a Service, Software as a Service, on-premise deployed environments, and in-house developed solutions.
Webinar hosting presenter
Chief Data Strategist & Solutions Officer, Bioforum The Data Masters
As a certified clinical data manager, Tanya holds a M.Med.Sc. in Hematology and Cell Biology from University of the Free State, as well as her project management professional certification. She has vast industry experience with over 14 years with IQVIA (legacy Quintiles). As manager of various data management operation teams, Tanya has actively led strategies for customized data delivery solutions focusing on timely quality data. She has driven numerous innovation teams, and her dedication to optimal customer service/delivery is visible through her long-standing relationships.