Suzanne Caruso | President, Clinical, Regulatory & Intelligence
Norstella

Suzanne Caruso, President, Clinical, Regulatory & Intelligence, Norstella

Suzanne Caruso is a senior business executive and clinical trial study start-up expert with over 15 years of experience in the pharmaceutical industry. As President, Strategic Intelligence and Clinical & Regulatory at Norstella, Suzanne leverages her expertise in data analytics and innovative trial operational models to drive efficiency for large pharma, biotech, and CRO companies. Suzanne has held roles at Veeva Systems, WCG, GSK, and Novartis and has served as a subject matter expert and advisor to hundreds of organizations.

Appearances:



BioTechX USA Day 1 @ 12:45

Same Experts, Smarter Agents: The Next Leap in Clinical Development

AI has already reshaped preclinical development — now it's transforming Phase I-III trials. Study start-up is being compressed through AI-driven protocol design, site selection, and feasibility work. Real-world data is enabling synthetic control arms that can reduce the need to enroll patients into placebo groups, cutting study timelines and costs at a point where every day of a Phase III trial can cost upwards of a million dollars. And patient recruitment itself has flipped from a passive, wait-for-patients-to-come model to a proactive one, with AI matching protocol criteria against real-world data to identify eligible patients and where they're being treated — cutting recruitment workload by roughly 80% The next leap is agentic AI: systems that don't just surface insights but actively execute the work. But speed only matters if you can trust the output. In this session, Suzanne will share what "AI-native" really means in practice — where subject matter experts stay firmly in control of agentic workflows, why sourcing and human oversight are the foundation of trustworthy AI rather than an afterthought, and how real-time monitoring is already compressing feedback cycles from days and weeks down to minutes. Attendees will walk away with:

  • Where AI is already delivering measurable time and cost savings versus where it's still maturing
  • A practical framework for what "AI-native" means for a clinical organization, and how to keep subject matter experts in control as agents take on more of the operational workload
  • Questions to ask any AI vendor or internal team about sourcing, hallucination risk, and oversight before trusting agentic output in a regulated trial environment
  • A candid perspective on why "trust takes time" with AI — and concrete first steps for piloting agentic tools now rather than waiting for perfect reliability
last published: 20/Aug/26 10:55 GMT

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