Data Management STREAM

31. A Framework For Selecting Reliable Clinical Endpoints From Real-World DHT Data 2/25/2025

    Dr. Andy Liu presents a case study determining which digital measure of physical activity would be a well-defined and reliable clinical endpoint in a trial including patients with diabetes.

32. Make Sense Of Unstructured Data In Neurology, Urology, and Ophthalmology 5/28/2025

    Transform your data and, ultimately, patient outcomes across three major therapeutic areas: Neurology, Urology, and Ophthalmology.

33. Collect Better Oncology Trial Data, Easier 3/29/2022

    In this webinar, experts discuss how enriching oncology clinical trials with RWD generates deeper insights and improves operational efficiency to achieve better patient outcomes.

34. What Is 'Fit For Use' In AI Models? 1/27/2025

    The data that you use to train AI models has to be “fit for use” according to the FDA. Tala Fakhouri explains what metrics the FDA uses to make this determination.

35. A Framework For Scalable Clinical Trial To Real World Data Linkage 8/15/2024

    Discover a scalable framework for data linkage in this on-demand webinar. Learn strategies to efficiently manage large datasets, enhance accuracy, and overcome common challenges in data integration.

36. Beyond The Data Deluge: Immune Profiling In Early Immuno-Oncology Trials 8/14/2025

    This presentation explores how to design effective immune monitoring for early-phase immuno-oncology trials, focusing on strategic platform selection, cost, and operational feasibility.

37. Yes, Your Study Is At Risk: Risk Mitigation Plans For Endpoints 1/15/2026

    Ocular endpoints often introduce unique bottlenecks that can stall enrollment and compromise data integrity. This presentation provides the tools for a streamlined, resilient clinical trial strategy.

38. Addressing Opportunities And Challenges In Digital Health Data 10/22/2024

    Experts from diverse industry sectors unpack key points from the FDA’s final guidance on Digital Health Technologies (DHT) for remote data collection in clinical investigations.

39. How Biotech Gets Built With Professor Justin Stebbing 1/14/2026

    Navigate the complexities of biotech innovation by exploring how AI, the GLP-1 revolution, and shifting global trial trends are redefining the path to safer, more effective patient treatments.

40. Amplifying Evidence With Unified Clinical Trial Data Collection 5/3/2024

    In this presentation, we explore the transformative potential of integrating a unified clinical trial data collection platform with intelligent automation, challenging the inadequacies of the status quo.