Making the Grade: Registries as Sources of Regulatory-Grade Real-World Evidence (RWE)
Dr. Peter Wahl, MLA, MS, ScD, VP and Global Head of Scientific Affairs at CorEvitas, part of the PPD™ clinical research business of Thermo Fisher Scientific, discusses the critical role of protocol-driven registries in generating regulatory grade RWE to serve multiple and evolving evidence needs across the drug development life cycle. He covers key considerations for selecting the right type of registry, explains why registry data is the gold standard in RWD, and how it contextualizes safety and effectiveness to fulfill FDA and EMA post-marketing requirements.
The second of a two-part perspective examining why clinical trial enrollment and representation outcomes are shaped long before the first patient is screened.
In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, describe what operationalizing regulatory-grade quality frameworks requires—and why fit-for-purpose evidence generation is a transparency and documentation discipline, not just a data cleanliness exercise.
AI can turn complex protocols into first-pass budget inputs, letting sponsors start budgeting sooner while budget builders shift from data entry to review.
Trialbee CEO Matt Walz explores the current impact of AI in delivering practical gains in clinical development and reflects on its future potential, where enrollment predictability may be the biggest prize of all.
In this video interview, Carole Berini, PhD, of Ontada, explains how validated proxies for variables like ECOG performance status can recover not just sample size but the representativeness of hard-to-reach patient populations in real-world oncology studies.
In today's ACT Brief, we examine proportionate analysis frequency in RBQM, how to build trust into real-world evidence foundations for cancer trials, and how rare disease developers monetize regulatory success.
Real-time RBQM requires proportionate analysis frequency matched to data arrival and issue criticality, not continuous reanalysis, because signal churn from over-frequent runs creates alert fatigue and operational noise that obscures meaningful deterioration.