From The Industry Experts

  1. Can Better Project Management Be Your Trial's Secret Weapon? 1/27/2026

    As a longtime clinical research professional and project manager, Jess Thompson founded Clinical Research Pro to equip trial teams with proven project management techniques that improve trial outcomes and mitigate burnout. With more effective toolkits, teams can mitigate risk, manage change, and design strategic communication plans.

  2. How Can AI Change Computerized System Validation? 1/27/2026

    Learn how AI technologies are changing the computer system validation (CSV) landscape and what you need to understand about this transformation.

  3. Too Little Info, Too Much Time Wasted: Feasibility Challenges For Sites 1/27/2026

    Incomplete protocols, lengthy sponsor decision timelines, and uncompensated work plague clinical research sites. Learn why these issues exist and how to address them alongside experts from SCRS and Tufts CSDD.

  4. Will New AI Health Assistants Suggest Clinical Trials To Inquiring Patients? 1/27/2026

    New AI health assistants are now doing even more to help patients make sense of symptoms, diagnoses, and treatment options. What does that mean for the discoverability of clinical trials?

  5. AI‑Readiness Checklist: Is Your Clinical Data Environment Ready? 1/26/2026

    AI impact depends on solid data practices, good governance, and team alignment. This piece highlights what to assess and how organizations can build readiness for future initiatives.

  6. AI In Clinical Trials: Practical Use Cases For Data Management 1/26/2026

    AI is improving daily data management with automation, faster issue detection, and smarter reviews. This piece outlines practical use cases and what teams need to enable real, sustainable adoption.

  7. Is Your Legacy EDC Limiting AI's Impact On Your Clinical Data? 1/26/2026

    AI can enhance clinical data workflows, but aging EDC systems hold teams back. This piece breaks down key barriers and shows what’s needed to modernize data foundations for meaningful AI adoption.

  8. The Case For Parallel Processing In Clinical Trial Start-Up 1/26/2026

    Stop letting outdated processes stall your innovation and learn how parallel processing transforms study start-up from a series of hurdles into a synchronized sprint.

  9. Open-Label Study Assessing Relative And Absolute Bioavailability 1/26/2026

    Consistent absorption across different formulations and dietary conditions ensures stable therapeutic exposure. This flexibility simplifies patient dosing schedules and supports manufacturing transitions.

  10. Why Should Site Agility Be Your Next Competitive Advantage? 1/26/2026

    Maximize your trial agility by replacing slow, linear start-ups with parallel workflows and rapid SLAs. Partnering with agile sites secures a commercial edge and predictable timelines.