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prescription instructions-GettyImages-1785706494 Precision Medicine Needs Better Infrastructure — And We Already Have The Models For It

Standard methods for evaluating clinical trial representativeness perform poorly when the trial population differs from the broader disease population in a patient registry. June Cha, Ph.D., MPH, explains how the right metrics can make a difference.

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Design, build, simulate, and analyze clinical studies in one connected system. Embedded intelligence supports the full lifecycle, from protocol development to closeout.

At DVCR, our Central Laboratory Services are built for multi-site studies, combining customizable kits, next-day results and real-time shipment monitoring to keep every site aligned and on schedule. Backed by dedicated client teams, a comprehensive Central Lab Manual and rapid-response testing, we deliver the flexibility and speed your studies require.

Digital health technologies have the potential to transform clinical trials, yet without careful planning and support, their implementation can increase site burden and jeopardize data quality.

Accelerate clinical trials with expert patient recruitment strategies delivering faster enrollment, lower dropout rates, and better outcomes.

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Speed without shortcuts: AI in clinical development

Our vision is to develop AI solutions that enable faster delivery of new medicines to patients.

AI in Clinical Development is at the core of Parexel’s approach to accelerating first-time quality and milestone delivery through our strategic operating model, Parexel Precision Pathway. We’re committed to the development of innovative, high-value use cases for AI in clinical trials. AI empowers our people at critical decision points and our AI investments prioritize process optimizations that:

  1. Simplify complex tasks to accelerate timelines
  2. Apply insights with agility to enable better decision-making
  3. Enhance data handling to drive first time quality through content generation and workflow automation.

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