Lunch & Learn: Human-AI Collaboration in Decentralized Clinical Trials
Clinical trials are at a breaking point. Studies take years to complete, cost billions of dollars, and often rely on fragmented systems that create inefficiencies at every stage of the process.
As decentralized and hybrid trial models expand, artificial intelligence is emerging as a powerful tool for transforming how clinical research is designed, managed, and executed.
This session will explore how AI is reshaping clinical trial operations, from patient recruitment and engagement to data quality, safety monitoring, and study management. Through real-world examples, attendees will learn how AI-native platforms and agentic AI frameworks can streamline workflows, reduce manual effort, improve decision-making, and accelerate timelines.
Join us for a look at the future of clinical research and how AI is helping build faster, smarter, and more patient-centered clinical trials.
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Where should I park?
Please park in the Discovery Parking Lot beside the pond across from Discovery Hall. Overflow parking is in the Occoquan Lot, across the pond. Hourly parking is available - pay via the ParkMobile app or by calling (877) 727-5758.
Hourly Schedule
- 11:45 AM - 12:00 PM
- Registration
- 12:00 PM - 12:50 PM
- Presentation and Q&A (Lunch provided)
- 12:50 PM - 1:30 PM
- Networking
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Date
- Jul 15 2026
Time
- 11:45 am - 1:30 pm
Location
- 10920 George Mason Circle, Manassas, VA
Speaker
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Harsha K. RajasimhaFounder and Chief Executive Officer, Jeeva Clinical TrialsDr. Rajasimha is a former scientist at the National Institutes of Health and the U.S. Food and Drug Administration with deep expertise in genomics, precision medicine, translational science, regulatory strategy, and rare disease research. As Founder and CEO of Jeeva Clinical Trials, he drives the company’s long-term vision, product strategy, partnerships, and innovation roadmap. His 14+ years of rare disease advocacy leadership through IndoUSrare and over 10,000 stakeholder discovery interviews provide Jeeva with an unusually deep understanding of the operational inefficiencies, patient burdens, and infrastructure gaps across clinical development. His scientific and patient-centered leadership strongly informs Jeeva’s mission to build scalable AI-ready clinical research infrastructure.
