What is AI-assisted literature screening for Class II medical devices? AI Literature Screening for Medical Devices is the application of artificial intelligence to identify, review, classify, and prioritize scientific literature relevant to a medical device. This reduces the manual effort required for evidence generation and regulatory review workflows. For instance, AI analyzes titles, abstracts, and…
Why the Industry is Testing the Wrong Thing The life sciences industry faces a growing paradox: organizations are investing heavily in AI, yet many evaluation methods fail to measure how these systems actually perform in real-world evidence synthesis workflows. Every week, new evaluations emerge, and task forces publish guidelines. Academic papers rank AI tools. Organizations…
The Systematic Literature Review Definition: Systematic Literature Review (SLR) is a rigorous, structured, and transparent process of identifying, analyzing, and synthesizing all existing research on a clearly defined question or topic, providing a comprehensive summary and critical evaluation of the evidence. If you’ve ever tried to pull together evidence for a big research question, you’ll…
Today’s Reality vs. Future of Medical Affairs Imagine a seasoned oncologist in her clinic, preparing for morning rounds. Two decades ago, understanding the safety profile of a novel compound often meant waiting for a Medical Science Liaison (MSL) to deliver a curated slide deck. The MSL acted as a highly credible, yet fundamentally transactional, data…
Introduction: The Next Wave of Pharma Innovation In the life sciences, regulatory content has always played a critical role, yet it has rarely been treated as a strategic asset. Documents such as clinical summaries, regulatory submissions, safety reports, and evidence dossiers are essential for compliance, but they are often viewed as static outputs rather than…
Imagine a world where drug safety isn’t just about responding to problems after they occur, but it’s about predicting and preventing them before patients are at risk. For decades, traditional pharmacovigilance (PV) has functioned like a fire alarm system: it activates only once the smoke appears. Adverse drug reactions (ADRs) are collected through Individual Case…
