Navigating the AI Landscape: Understanding Trends, Jargon, and Data Readiness
Analyzing publication data from the past decade reveals a remarkable surge in artificial intelligence-related research outputs, reflecting the increasing interest and investment in AI across academia and industry. This white paper looks at the growing importance of AI as evidenced across various metrics (including research publications, research funding, and patents), provides insights to better understand common AI terminology and concepts, and provides an overview of the importance of data readiness for successful AI integration.
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AI & Global Labeling: How Next-Gen Tools Are Streamlining Structured Component Authoring Effectively and Compliantly
Outside of the physical drug product itself, global labeling plays the most fundamental role in helping pharmaceutical companies deliver safe and effective therapies to the population. But the process behind global labeling—the authoring, editing, collaborating, translating, and publishing of drug labels—is both incredibly complex and time-consuming. This guide explores how AI-powered tools are helping teams simplify and accelerate their in-house authoring workflows, without sacrificing compliance. It also explains how, by using such tools, companies can transform not just the way they work but also the entire “last mile” of the drug development lifecycle.
AI & Global Labeling: How Next-Gen Tools Are Streamlining Structured Component Authoring Effectively and Compliantly
Outside of the physical drug product itself, global labeling plays the most fundamental role in helping pharmaceutical companies deliver safe and effective therapies to the population. But the process behind global labeling—the authoring, editing, collaborating, translating, and publishing of drug labels—is both incredibly complex and time-consuming. This guide explores how AI-powered tools are helping teams simplify and accelerate their in-house authoring workflows, without sacrificing compliance. It also explains how, by using such tools, companies can transform not just the way they work but also the entire “last mile” of the drug development lifecycle.
