ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS

• What's Trending In The Biopharma And Biotech Industries

  With improved access to affordable digital technologies and a regulatory emphasis on diversity in patient recruitment, check out several highlights of the most notable projections in 2023.

• The Advantages Of DCTs In Diabetes Research

  By harnessing technology platforms, discover how researchers can be better equipped to design studies for novel diabetes treatments that are safer, more efficient, and more effective.

• Implementing ICH E6 (R3) In A Risk Averse Culture

  Get several pointers on how to facilitate a transition to an agile, multi-faceted, and continuous risk and issue management approach aligned with the Statistical Analysis Plan.

• How Electronic Source Data Revolutionizes Clinical Research

  By increasing interoperability and embracing digital solutions, see how the research community can maximize the benefits offered by eSource, leading to improved trial outcomes and data quality.

• What The Joint FDA And EMA's AI Principles Can Mean For Clinical Trial Technology

  New FDA/EMA principles align global expectations for AI in drug trials, emphasizing transparency, human-centric design, and risk-based governance to ensure data integrity and patient safety.

• Investigator Databank And DQS: Welcoming New Consortium Members

  Join the Data Query System consortium to access a comprehensive, collaborative platform that enhances clinical trial feasibility, site selection, and investigator engagement.

• Improving Quality And Efficiency In TMF Document Processing

  By adhering to the principles outlined in this article, learn how teams can be better enabled to carry out efficient, high-quality processing of documents throughout the entirety of a study.

• Why Your eTMF Needs Role-Based Access

  Discover how role-based access controls can offer a way for clinical teams to answer the tough questions from regulators, investors, and other parties.

• Reserving Data Integrity With Retrospective Manual Entry

  A look at implementing randomization mid-trial by reconstructing subject and inventory records without disrupting sites or compromising data integrity.

• The AI Revolution In Clinical Trials

  AI is reshaping clinical trials by accelerating patient recruitment, optimizing protocol design, and improving data quality—driving faster, more efficient, and more inclusive research outcomes.