Insights On Clinical Technologies

  1. Everest Group Life Sciences EDC Products PEAK Matrix® Assessment 2024 2/11/2025

    This Everest Group report examines Medidata’s Rave EDC and its impact on the clinical development value chain of life sciences.

  2. Unified Patient Apps: The Future Of Trial Simplicity 11/12/2025

    A unified patient app streamlines clinical trial participation by combining scheduling, questionnaires, travel, and payments—reducing burden, improving engagement, and supporting better retention and data quality.

  3. Manufacturing Solutions 3/4/2025

    Explore a cutting-edge service in powder blending, encapsulation, tablet compression, and on-site laboratory testing that meets the highest standards to ensure exceptional quality and compliance with cGMP regulations.

  4. Enhance DMC Services By Harnessing Biostatistics Expertise 8/7/2024

    Discover how expert biostatistics and project management ensured data integrity and efficient DMC operations in a complex clinical trial for hematologic cancer cell therapies.

  5. No More Back And Forth: Building eCOAs Right The First Time 5/27/2025

    Clinical trial system builds have long been plagued by inefficiencies, miscommunications, and long timelines. Learn about a platform helping sponsors and CRO's overcome these challenges.

  6. Using Technology To Reduce Monitoring Costs And Increase Quality 2/18/2025

    Join industry experts as they discuss how the true value of DDC lies not just in the cost of the technology itself but in the operational efficiencies it unlocks.

  7. Sustainable Clinical Trials Through eClinical Innovation 8/26/2025

    Clinical trials are essential to advancing medicine, yet they carry significant environmental costs. Inefficiencies not only drive emissions but also risk drug shortages and trial delays, and clinical technology solutions offer a pathway to more sustainable research.

  8. A New Take On The Evolving Role Of AI In Clinical Trials 10/29/2025

    Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.

  9. 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.

  10. Flexible Data Management For Growing Portfolio 7/31/2025

    Explore strategic enhancements to a small biopharma's biometrics capabilities involving the deployment of 20 specialized professionals, which effectively bolstered the client’s organizational capacity.