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IQVIA and NVIDIA Harmonize to Accelerate Clinical Research and Commercialization With AI Agents
Agentic AI is introducing a rhythm shift in the pharmaceutical industry, with IQVIA, the world's leading provider of clinical research services, commercial insights and healthcare intelligence, as its conductor. At NVIDIA GTC Paris at VivaTech, IQVIA announced it is launching multiple AI orchestrator agents in collaboration with NVIDIA. These specialized agentic systems are designed to manage and accelerate complex pharmaceutical development workflows for IQVIA's thousands of pharmaceutical, biotech and medical device customers across the globe. The AI agents act as supervisors for a group of sub-agents that each specialize in different tasks, like a conductor managing strings, woodwinds, bass and percussion sections. The orchestrator agent routes any necessary actions -- like speech-to-text transcription, clinical coding, structured data extraction and data summarization -- to the appropriate sub-agent, ensuring that each step in the complex workflow is accelerated and managed by human experts in the loop. Using its vast databases comprising many petabytes of data and deep domain life sciences expertise, IQVIA can train and fine-tune these models for maximum productivity and efficiency. Agentic AI Strikes a Chord in Clinical Trials IQVIA's localized expertise on regulatory requirements in different countries, including those across Europe, puts the company center stage in the clinical space. Deployed in its healthcare-grade AI platform, IQVIA's AI orchestrator agents are designed to accelerate every step of the pharmaceutical lifecycle, including clinical trials. Clinical trials represent a major accomplishment in the research and development process for pharmaceutical companies, but planning and executing a trial typically takes years. The start-up process, alone, often takes about 200 days and is manually intensive. IQVIA's clinical trial start-up AI orchestrator agent addresses the growing need for acceleration in clinical trial timelines. One component now accelerated by IQVIA's AI orchestrator agents is target identification. This agent builds a knowledge base from research articles and biomedical databases, using customized AI models to identify key relationships among the data and extract insights. This knowledge then enables IQVIA's pharmaceutical customers to identify emerging scientific areas for indication prioritization -- like which indications they will pursue and in what order for a particular asset -- and to discover new opportunities for drug repurposing, unlocking new uses that were previously unavailable.. Another agent, the clinical data review agent, uses a set of automated checks and specialized agents to catch data issues early, reducing the data review process from seven weeks to as little as two weeks. "From molecule to market, AI promises to be transformative for life sciences and healthcare," said Avinob Roy, vice president and general manager of product offerings for commercial analytics solutions at IQVIA. IQVIA's agents use NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, to streamline clinical site start-up. The agent directs its sub-agents to analyze clinical trial protocols and extract critical participant inclusion and exclusion criteria, using reasoning to solve these problems in phased steps. By deploying the orchestrator agent, which works autonomously, research teams can focus on decision-making instead of time-consuming administrative tasks. AI Agents Compose New Paths for Drug Commercialization After a drug passes clinical trials, there's still more work to be done before it's accessible to patients. Pharmaceutical companies must understand the market for their drug, landscape the disease it treats, map the patient journey and chart treatment pathways. The goal is to identify the right patient cohorts and understand how to reach them effectively. "There are a lot of different components -- market dynamics, patient behaviors, access challenges and the competitive landscape -- that you need to triangulate to really understand where the bottlenecks are," Roy said. IQVIA orchestrator agents can provide a comprehensive understanding of how a treatment will reach patients by analyzing patient records, prescriptions and lab results in just a few days instead of weeks. Another challenge is to capture the attention of healthcare professionals. To stand out, field teams often spend hours preparing for every interaction -- crafting personalized, data-driven conversations that can deliver real value. The IQVIA field companion orchestrator agent delivers tailored insights to pharmaceutical sales teams before each engagement with healthcare providers. By integrating physician demographics, digital behavior, prescribing patterns and patient dynamics, the agent helps field teams prepare for each meeting using near real-time insights, leading to more engaging and impactful discussions. "The collective impact of these agents across numerous commercial workflows brings unprecedented precision and operational efficiency to the life sciences, supporting better experiences and outcomes for healthcare professionals and patients," Roy said. Learn more about the latest AI advancements for healthcare and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech.
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IQVIA Launches New AI Agents for Life Sciences and Healthcare
IQVIA unveiled AI agents at GTC Paris. IQVIA?s new custom-built AI agents using NVIDIA technology are designed to enhance workflows and accelerate insights for life sciences. These live applications of agentic architectures illustrate how IQVIA AI and deep domain expertise are transforming business processes and patient outcomes. While IQVIA Healthcare-grade AI has been delivering insights with the precision, speed and trust required for the life sciences industry across the asset life cycle, this recent collaboration with NVIDIA represents an exciting new phase as we advance the powerful future promised by agentic AI in a way that meets the unique needs of life sciences companies. Leveraging NVIDIA NIM Agent Blueprints for rapid development, the NeMo Customizer for fine-tuning, and NeMo Guardrails to safeguard deployment, IQVIA is developing agents that help find breakthroughs and simplify operations across life sciences. Use cases for these agentic offerings include target identification, clinical data review, literature review, market assessment, and HCP engagement.
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IQVIA, a leading provider of clinical research services, partners with NVIDIA to launch AI orchestrator agents aimed at revolutionizing pharmaceutical development workflows and accelerating drug commercialization processes.
IQVIA, the world's leading provider of clinical research services and healthcare intelligence, has announced a groundbreaking collaboration with NVIDIA to launch multiple AI orchestrator agents. This partnership, unveiled at NVIDIA GTC Paris at VivaTech, aims to transform the pharmaceutical industry by accelerating complex development workflows and enhancing drug commercialization processes 1.
The newly introduced AI agents act as supervisors for specialized sub-agents, each focusing on different tasks within the pharmaceutical development pipeline. These orchestrator agents manage various processes, including speech-to-text transcription, clinical coding, data extraction, and summarization, ensuring efficient workflow management with human experts in the loop 1.
IQVIA's vast databases and deep domain expertise in life sciences enable the company to train and fine-tune these AI models for optimal productivity. The company's localized knowledge of regulatory requirements across different countries, particularly in Europe, positions it at the forefront of the clinical space 1.
One of the primary focuses of IQVIA's AI orchestrator agents is to expedite the clinical trial process, which traditionally takes years to plan and execute. The clinical trial start-up AI orchestrator agent addresses the need for acceleration in trial timelines, potentially reducing the start-up process from its typical 200-day duration 1.
Key improvements include:
Target Identification: An AI agent builds a knowledge base from research articles and biomedical databases, identifying key relationships and extracting insights for indication prioritization and drug repurposing 1.
Clinical Data Review: Automated checks and specialized agents catch data issues early, reducing the review process from seven weeks to as little as two weeks 1.
Clinical Site Start-up: Using NVIDIA NIM microservices, the AI agent analyzes trial protocols and extracts critical participant criteria, streamlining the start-up process 1.
IQVIA's AI agents also play a crucial role in the post-clinical trial phase, focusing on drug commercialization. These agents assist pharmaceutical companies in understanding market dynamics, patient behaviors, and treatment pathways 1.
Key applications include:
Market Analysis: AI orchestrator agents provide comprehensive insights into treatment accessibility by analyzing patient records, prescriptions, and lab results in days instead of weeks 1.
Healthcare Professional Engagement: The IQVIA field companion orchestrator agent delivers tailored insights to pharmaceutical sales teams, integrating physician demographics, digital behavior, and prescribing patterns to enhance engagement with healthcare providers 1.
IQVIA's collaboration with NVIDIA involves utilizing various NVIDIA technologies to develop and deploy these AI agents effectively. The company uses NVIDIA NIM Agent Blueprints for rapid development, the NeMo Customizer for fine-tuning, and NeMo Guardrails to ensure safe deployment 2.
Avinob Roy, Vice President and General Manager of product offerings for commercial analytics solutions at IQVIA, emphasized the transformative potential of AI in life sciences and healthcare. He stated, "The collective impact of these agents across numerous commercial workflows brings unprecedented precision and operational efficiency to the life sciences, supporting better experiences and outcomes for healthcare professionals and patients" 1.
As the pharmaceutical industry continues to evolve, the integration of AI agents promises to revolutionize drug development and commercialization processes, potentially leading to faster breakthroughs and improved patient outcomes.
Source: NVIDIA Blog
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