Central Laboratories White Papers & Articles

  1. Excelling In The JAPAC Medical Information Landscape: Key Considerations And Insights 11/6/2024

    Establishing a Medical Information (MI) function in JAPAC requires navigating complex regulations, data privacy laws, and cultural nuances. Effective strategies support safe, compliant patient care.

  2. Common Challenges In Signal Detection In Pharmacovigilance And How To Overcome Them 11/6/2024

    Timely signal detection in pharmacovigilance safeguards patient safety by identifying potential drug risks. Explore support from pharma companies with strategies to improve data integration, compliance, and technological adoption.

  3. Growing Pains: The Real Story Behind Gen AI Development In Clinical Trial Ops 11/5/2024

    As Gen AI develops and reaches advanced stages it introduces risks such as model hallucinations, which can affect trial accuracy and reliability. Explore how to address these challenges.

  4. Agile Use In Non-Software Project 10/28/2024

    Agile methodology, initially for software development, is now valuable for pharmaceutical and medical device projects, enhancing flexibility, stakeholder satisfaction, and adapting to non-software needs.

  5. QT Monitoring Impacts More Than Just Cardiac Health 10/25/2024

    Achieve earlier detection of potential adverse cardiac events and refine patient selection for future trial phases by implementing advanced QT monitoring tools.

  6. Navigating The Pitfalls Of AI In Clinical Drug Development 10/23/2024

    AI promises faster drug development, but challenges like the Black Box Dilemma, data bias, and over-reliance on automation threaten its potential.

  7. Break The Contracting Bottleneck To Speed Site Activation 10/23/2024

    With the appropriate training data, AI has the capability to automate information gathering, document creation, and workflow management.

  8. AI in Pharma: Benefits, Risks, And The Road Ahead 10/23/2024

    How could leveraging AI technologies, including machine learning (ML) and generative AI (GenAI), enable your company to streamline processes from drug discovery to post-launch?

  9. The Tale Of Two Clinical Supply Chains: The Risks Of Fragmented Systems 10/21/2024

    Here we examine two contrasting approaches to showcase how a centralized inventory management system is an effective tool for supporting a robust supply chain.

  10. Study, Not Software: Aligning RTSM To The Protocol 10/21/2024

    How can RTSM platforms improve your clinical trial and how do they integrate with your other crucial trial systems?