Skip to content Skip to footer
Join our LinkedIn Group and be part of the conversation on AI in life sciences
The AI Evaluation Problem in Evidence Synthesis

The AI Evaluation Problem in Evidence Synthesis

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…

Read More

systematic-literature-review-process

How to Do an AI-Assisted Systematic Literature Review: A Step-by-Step Guide

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…

Read More

AI Agents Transform Regulatory Content

2026 Prediction #6: AI Agents Will Transform Regulatory Content into a Competitive Asset

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…

Read More