Showing 41-45 of 61 webinars:
From Pipeline to Value | Real-World Data for Immunologic Disorders

April 30 – 2020 11:00 a.m. – 12:00 p.m. Register  Do you know how to obtain high quality, clinically-rich, real-world data for meeting goals across the product lifecycle? Join us in exploring RWD for understanding standard of care, accelerating clinical trials, meeting regulatory commitments, building stronger value frameworks, improving targeting, and driving personalized medicine. This[…]

RWD for Research & Regulatory: Collecting, Processing and Leveraging High-Quality Data

Tuesday, March 31 – 1:00 – 2:00 pm ET Register The promise of real-world data is driving increased requirements and use. But, what does high-quality RWD actually look like? How should life sciences companies access and use it most effectively? What are the implications when applying RWD to clinical trials, registries, and other evidence and[…]

From Big Data to Rapid Analytics for Rheumatology – Data Quality, Tools, and Usage

Wednesday, August 14, 2019 Being able to quickly and cost-effectively collect, analyze, and share real-world evidence on a treatment is critical to improving outcomes in rheumatology conditions. Fortunately, advances in data linkage and processing capabilities are enabling greater access to patient journeys via deep, linked clinical data. At the same time, new tools are empowering[…]

Aug 30 – Next Generation Registries: Big Data, Advanced Analytics, More Dynamic Evidence

August 30, 2018 – 2:00 – 3:00 pm ET Registries continue to be a critical part of the real-world evidence equation, but over time they have become too trialized, too burdensome, and too separated from real clinical practice. Emerging methodologies, data digitization, and cognitive technologies have set the path for drastic changes needed to address[…]

Using Big Data Like Biomarkers to Advance Clinical Development & Commercialization

March 28, 2018 – 2 PM ET What if you could use predictive models like biomarkers to pre-emptively screen and more effectively target patients who are more likely to respond to your drug in trials and in practice? What if you could rapidly answer questions on comparative treatment outcomes and predict those most likely to[…]