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#551: Operationalizing Large Language Models in Drug Development
Tuesday June 16, 2026 4:15pm - 5:15pm EDT
111AB
Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-585-L04-P; CME 1.00; RN 1.00

Generative AI and large language models (LLMs) are reshaping drug development and Real-World Evidence (RWE). This session explores real-world applications, debunks common myths, and outlines what’s needed for safe, scalable, and compliant use across the drug development lifecycle.

Learning Objectives

Distinguish between the current capabilities and limitations of generative AI and large language models (LLMs) in drug development; Identify practical and regulatory challenges in adopting GenAI across evidence generation workflows; Discuss future opportunities for integrating GenAI into the various areas of the drug development pipeline; Identify/mitigate bias in regulated workflows

Chair

Wesley Anderson, PHD

Speaker

GenAI for literature-based evidence synthesis: From systematic literature review to digitization of trial publications
Emily Nieves

Panelist
Danielle Boyce, MPH


Speakers
WA

Wesley Anderson

Scientist, Quantitative Medicine, Critical Path Institute, United States
Wes Anderson, Ph.D. is a Quantitative Medicine Scientist at the Critical Path Institute, where he develops data-driven solutions to support drug development using machine learning, artificial intelligence, natural language processing, and informatics. He has also contributed to the... Read More →
DB

Danielle Boyce

Principal Investigator and Data Consultant, ALS Therapy Development Institute, United States
DB

Danielle Boyce

Principal Investigator and Data Consultant, ALS Therapy Development Institute, United States
Dr. Danielle Boyce is Principal Investigator of Real World Evidence at the ALS Therapy Development Institute and a faculty member at Johns Hopkins University, with affiliations at the University of Calgary, University of Chicago, and Emory University. A mother of a child with rare... Read More →
EN

Emily Nieves

CEO/ Co-Founder, Delineate, United States
Emily Nieves is the co-founder and CEO of Delineate, a seed-stage startup partnering with pharmaceutical companies to accelerate Model-Informed Drug Development workflows through advanced AI techniques. Prior to founding Delineate, Emily pursued graduate studies in Biological Engineering... Read More →
Tuesday June 16, 2026 4:15pm - 5:15pm EDT
111AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA
  03: Data-Tech-AI, Session |   10: Stats-EvidenceGeneration-RWE, Session

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