November 8, 2019 — This article explores biomarker data trends and challenges, and shares how drug developers, translational scientists, and clinical researchers evaluating biomarkers in early-phase studies can reduce time and cost.

We explore biomarker data trends and challenges, and share how drug developers, translational scientists, and clinical researchers evaluating biomarkers in early-phase studies can:

  • Move beyond data overload and leverage cutting-edge technologies to seamlessly transform millions of data points into actionable insights
  • Harness advanced informatics and visualization tools to harmonize disparate sources of biomarker data and warehouse them for effective on-study use (e.g., dose selection), as well as downstream use
  • Build flexibility, efficiency, and compliance into the rapidly evolving biomarker-informed development process
  • Accelerate go/no-go decision-making to reduce time and cost

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