Agentic AI: Redefining Clinical Research Through Intelligent Trial Workflows

In this presentation, we will explore how agentic AI can augment activities across the R&D continuum, including site activation and start-up activities and data review setup. Join us to learn how AI innovation is not just improving trial efficiency — it’s redefining what’s possible in clinical research.

Register Free: https://www.appliedclinicaltrialsonline.com/act_w/trial-workflows

Event overview:

Agentic AI will transform traditional clinical research processes as we know them today. The “agentification” of clinical trial workflows will be applied across start-up, conduct and closeout to expedite trial activities, reduce white space, and improve quality. In this presentation, we will explore how agentic AI can augment activities across the R&D continuum, including site activation, start-up activities and data review setup. Join us to learn how AI innovation is not just improving trial efficiency — it’s redefining what’s possible in clinical research.

Key Learning Objectives

• Understand how multiagent analytics AI systems can rapidly generate responses for clinical development decisions
  
• Explore how the daily operations of a clinical trial will be enhanced by agentic AI
  
• Discuss the importance of managing data flow across sources and systems to enable agentic AI workflows and insights that accelerate outcomes for sponsors

Speakers:

Mina Labib, MBA
Director, Innovation — AI
IQVIA

Mina Labib, MBA, is passionate about transforming health care and clinical development through innovation, technology, artificial intelligence and applied data science. In his role as director of innovation and AI at IQVIA, Labib leads high-impact initiatives that streamline clinical trial setup and enhance operational efficiency by integrating business objectives with intelligent, scalable solutions. With more than 20 years of experience in technology, 15 of which are concentrated in life sciences and health care, he brings strategic vision and deep technical expertise, particularly in process digitization and automation, generative AI, data visualization and clinical operations. Labib’s leadership is further supported by a master’s degree in business administration from North Carolina State University, equipping him to effectively align technological advancements with organizational strategy. Beyond his professional commitments, Labib actively engages in learning about and teaching emerging technologies that are shaping the future of health care.


Greg Lever, Ph.D.
Director, AI Solutions Delivery
IQVIA

With more than 15 years of life sciences and technology experience, Greg Lever, Ph.D., currently helps clients discover innovative ways to bring life-changing therapies to patients faster within IQVIA’s Applied Data Science Center’s AI consulting team. Previously, he led a team of machine learning (ML) engineers within IQVIA’s Analytics Center of Excellence.

Lever has worked with several technology start-up companies in London and helped see Genomics England’s 100,000 Genomes Project through project completion. He earned his Ph.D. at the University of Cambridge, combining quantum physics and ML to develop new approaches for small-molecule drug discovery, and has worked as a postdoctoral associate at MIT.

Register Free: https://www.appliedclinicaltrialsonline.com/act_w/trial-workflows