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Insights
Beyond our research and publications, we develop discussion papers that present early evidence and stimulate further investigation, as well as focused briefings that distill data and insights in research and development.
Preventing Failure Before First Patient In
Why Protocol Design Determines the Success of Early-Stage Clinical Trials Executive Summary A significant proportion of early-stage clinical trials fail because the trial was incorrectly designed. Across academia, biotech and pharmaceuticals, as well as investigator-initiated studies, protocol design is a crucial pillar of the study and cannot be treated as an administrative prerequisite. Otherwise, studies suffer from predictable and preventable issues including: Uninterpret
6 days ago
Understanding the Importance of Split-Face Studies in Aesthetic Dermatology
Our latest blog post explores split-face studies, what they are, when to use them, and how to get them right.
May 24, 2025
The Importance of Feasibility Assessment in Clinical Research
In clinical research, thorough planning is essential for success, and a key component of that planning is the feasibility assessment. This critical evaluation helps determine whether a clinical study is realistic, manageable, and has a strong chance of producing reliable results. By identifying potential challenges early, feasibility assessments save time, reduce costs, and ensure that research efforts align with achievable goals. What is a Feasibility Assessment? A feasibili
Feb 4, 2025
Real-World Evidence in Healthcare: What It Is and Why It Matters
Real-world evidence (RWE) is transforming healthcare by providing insights into treatment effectiveness, safety, and patient outcomes beyond
Feb 3, 2025
Why We Value Evidence in Research
What is Evidence in Research? Evidence in research encompasses the body of data, observations, and findings that support or refute a hypothesis, answer a research question, or inform a decision. It is the cornerstone of scientific inquiry, forming the basis for expanding knowledge, validating theories, and guiding practical applications. Evidence is considered high-quality when it is reproducible so other researchers can replicate the findings, transparent in showing how the
Dec 8, 2024
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