IQVIA introduces AI agents for life sciences and healthcare
IQVIA has launched new AI agents powered by NVIDIA technology to enhance workflows and accelerate insights in life sciences and healthcare.
June 11, 2025 — IQVIA (NYSE:IQV), a global leader in clinical research services and healthcare intelligence, has unveiled new artificial intelligence (AI) agents designed to transform workflows and accelerate insights in the life sciences and healthcare industries. These AI agents, developed in collaboration with NVIDIA, leverage advanced technologies to enhance business processes and improve patient outcomes.
Key Highlights
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NVIDIA-Powered AI Agents: IQVIA's custom-built AI agents utilize NVIDIA NIM Agent Blueprints for rapid development, NeMo Customizer for fine-tuning, and NeMo Guardrails to ensure safe deployment. These tools enable the creation of agents that streamline operations and drive breakthroughs in life sciences.
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Use Cases: The AI agents are tailored for various applications, including:
- Target identification
- Clinical data review
- Literature review
- Market assessment
- Healthcare professional (HCP) engagement
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IQVIA Healthcare-grade AI®: Building on its existing AI capabilities, IQVIA's new agents represent a significant step forward in agentic AI, offering precision, speed, and trust for life sciences companies.
Industry Impact
The introduction of these AI agents underscores IQVIA's commitment to innovation in life sciences and healthcare. By integrating NVIDIA's cutting-edge technology, IQVIA aims to deliver actionable insights and optimize workflows, ultimately improving patient care and operational efficiency.
For more information, visit IQVIA.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.