Greater San Diego Chapter: Cut through the Noise - Practical AI for Modern Clinical Trial Teams
This is a in-person event
Location:
Aquillius
10918 Technology Pl
San Diego, CA 92127
Event Description:
Artificial intelligence is rapidly reshaping the clinical trial landscape—but for many teams, the signal is still buried under significant noise. With an influx of vendors, tools, and bold claims, clinical operations professionals are left asking a critical question: what actually works today?
This session moves beyond the hype to focus on practical, real-world applications of AI that are delivering measurable value across clinical trial execution. Through concrete examples and case-based discussion, attendees will explore where AI is improving efficiency, enhancing data quality, and supporting decision-making—and where it continues to fall short.
The discussion will highlight key considerations for evaluating AI solutions, including integration with existing systems, data readiness, regulatory implications, and team adoption. Speakers will also share lessons learned from implementation, common pitfalls to avoid, and strategies for piloting AI in a low-risk, high-impact way.
Designed for clinical operations leaders and study teams, this session will equip attendees with a clear, actionable framework to assess, prioritize, and responsibly adopt AI tools—enabling smarter decisions without unnecessary complexity.
Dinner will be provided and parking is free.
Speakers:
- Peter Adamis, Founder, Patient Recruitment
- Chris Clevenger, PhD., Sr. VP R&D Operations, Verdiva Bio
- Dana Hosseini, Co-Founder & Chief Business Officer, SEQSTER
- Jeff De Leon, Chief Operating Officer, CenExel Clinical Research Network
Learning Objectives:
- Identify high-impact, real-world AI use cases across clinical trial operations (e.g., site selection, patient recruitment, monitoring, data review) that are currently delivering measurable value.
- Differentiate between validated AI applications and early-stage or overhyped solutions based on evidence, scalability, and regulatory readiness.
- Evaluate common implementation pitfalls—including data quality, integration challenges, and change management barriers—and how they impact ROI.
- Apply a practical framework for integrating AI into clinical trial workflows while maintaining compliance, quality, and operational efficiency.
Event Agenda:
5:30 - 6:30 | Networking and dinner
6:30 - 7:30 | Panel discussion
Registration Information:
After registering, please visit the event's community page to find the login information or any additional event updates, and to communicate with the event organizer.
The educational portion of this event may be self-reported as 1 point toward an attendee’s Maintenance of Certification. These points are subject to review and acceptance by the Academy of Clinical Research Professionals in accordance with the criteria established. Attendees should keep a record of event participation in case they are randomly selected to participate in the maintenance verification process. The Chapter can provide a certificate of attendance upon request.