INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Who Decides? Navigating AI Governance in Clinical Research

  AI in clinical research poses governance challenges. Clear ownership, consistent policies, and aligned teams help manage risk, ensure compliance, and drive responsible innovation in complex trials.

• Paper COAs In 2026? It's Not "Cheaper," It's Riskier

  Paper-based assessments add operational and regulatory risk — from poor data quality to delayed insights — quietly threatening timelines, compliance, and trial confidence.

• Tech-Enabled FSP Delivery

  Struggling with data silos and delayed trial visibility? See how combining AI with smarter data integration helps teams gain real-time visibility without adding headcount.

• Study Data Success: Expertise, Collaboration, And Transparency

  To strengthen cross-functional performance, teams should commit to building shared understanding, improving communication, and continuously refining their approach.

• Real-Time Data... Are We Fixing The Right Bottleneck (Or Any For That Matter)?

  5/6/2026

  Real-time data streaming to regulators is a bold step, but true clinical acceleration requires solving site-level bottlenecks and data silos to reduce the administrative burden on research.

• Expanding Clinical Research In East Africa With Digital Innovation

  12/11/2025

  Africa carries 25% of the world’s disease burden but hosts only 1% of clinical trials. Discover technology-driven strategies that close this gap and transform research access in underserved regions.

• GSK And Medable Discuss The Next Phase Of DCTs

  3/10/2025

  GSK and Medable share the value of embedding DCTs into strategic goals to enhance trial accessibility, diversity, and efficiency.

• Helping To Power The WHO Solidarity Trial Against COVID-19

  3/21/2025

  To overcome the unprecedented challenges of large-scale global clinical trials, adopting data capture solutions is essential for ensuring the success of critical research initiatives.

• The Digital Teammate: How AI Is Changing Clinical Research

  11/15/2024

  AI in clinical research serves as a "digital colleague," enhancing workflows, accelerating data analysis, and empowering study teams with precision, and insightful solutions for better patient outcomes.