Move Over, PS!

Moderator(s)

• 

  Rosa Gini, PhD (she/her/hers)

  Head of Unit at ARS Toscana, Florence, Italy
  ARS Toscana, Florence, Italy
  Florence, Italy
• 

  G. Niklas Norén, PhD

  Chief Science Officer
  Uppsala Monitoring Centre
  Uppsala, Sweden

Presentations:

• 1:00 PM – 1:15 PM CEST

  Enhancing Drug Safety Review with Advanced Artificial Intelligence: A Pilot Study on Large Language Model-Assisted Literature Screening
  

  Presenting Author: Mingfeng Zhang, MD, PhD – Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration

  Co-Author: Dan Li – Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration

  Co-Author: Leihong Wu – Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration

  Co-Author: Robert Ball, MD, MPH, ScM – Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration

  Co-Author: Joshua Xu – Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration
• 1:15 PM – 1:30 PM CEST

  Benchmarking Large Language Model Performance on Natural Language Processing Tasks for Pharmacoepidemiology
  

  Presenting Author: Hui Feng, PhD (she/her/hers) – IQVIA

  Co-Author: Francesco Ronzano – IQVIA

  Co-Author: Jude LaFleur – IQVIA

  Co-Author: Matthew L. Garber, n/a – IQVIA

  Co-Author: Rodrigo de Oliveira, PhD – IQVIA

  Co-Author: Katharine Roth – IQVIA

  Co-Author: Kathryn Rough, ScD, ScM (she/her/hers) – IQVIA

  Co-Author: Jay Nanavati – IQVIA

  Co-Author: Khaldoun Zine El Abidine, M.A.Sc. – IQVIA
• 1:30 PM – 1:45 PM CEST

  Establishing a validation framework of claims-based treatment discontinuation definitions using natural language processing and electronic health records
  

  Presenting Author: Chun-Ting Yang, PhD – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School

  Co-Author: Kerry Ngan – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

  Co-Author: Dae Hyun Kim, MD, ScD – Hebrew SeniorLife Marcus Institute for Aging Research

  Co-Author: Jun Liu – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School

  Co-Author: Kueiyu Joshua Lin, MD, ScD – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School
• 1:45 PM – 2:00 PM CEST

  Identifying adverse drug events in clinical notes of Intensive Care patients: the need for a gold standard corpus to enable automation via Natural Language Processing
  

  Presenting Author: Rachel M. Murphy, MPharm MSc (she/her/hers) – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Dave A. Dongelmans – Department of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Nicolette F. de Keizer – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Rosa J. Jongeneel – Amsterdam University Medical Centers

  Co-Author: Christiaan H. Koster – Department of Anesthesiology, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands

  Co-Author: Kitty J. Jager – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Ameen Abu-Hanna – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Iacer Calixto – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands

  Co-Author: Joanna E. Klopotowska, PharmD, PhD (she/her/hers) – Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
• 2:00 PM – 2:15 PM CEST

  Predicting Causes of Death from Structured Electronic Health Records Using Machine Learning
  

  Presenting Author: Mohammed Al-Garad-, PhD – Vanderbilt University Medical Center

  Co-Author: Ruth M. Reeves, PhD – Vanderbilt University Medical Center

  Co-Author: Rishi J. Desai, PhD – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts

  Co-Author: Michele LeNoue-Newton – Vanderbilt University Medical Center

  Co-Author: Daniel Park – Vanderbilt University Medical Center

  Co-Author: Shirley V. Wang, PhD (she/her/hers) – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School

  Co-Author: Judith C. Maro, PhD – Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute

  Co-Author: Candace C. Fuller, MPH, PhD – Department of Population Medicine, Harvard Pilgrim Health Care Institute

  Co-Author: Kueiyu Joshua Lin, MD, ScD – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School

  Co-Author: José J. Hernández-Muñoz, RPh, MPH, MSc, PhD – Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, USA

  Co-Author: Aida Kuzucan, PharmD, PhD – US Food and Drug Administration

  Co-Author: Xi Wang – Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD

  Co-Author: Haritha Pillai – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA

  Co-Author: Kerry Ngan – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

  Co-Author: Jill Whitaker, RN-BC, MSN – Vanderbilt University Medical Center

  Co-Author: Jessica Deere – Vanderbilt University Medical Center

  Co-Author: Michael F. McLemore, RN – Vanderbilt University Medical Center

  Co-Author: Dax Westerman, MS – Vanderbilt University Medical Center

  Co-Author: Michael E. Matheny, MD, MS, MPH – Vanderbilt University Medical Center
• 2:15 PM – 2:30 PM CEST

  A tree-based scan statistic for database studies with time-to-event outcomes
  

  Presenting Author: Shirley V. Wang, PhD (she/her/hers) – Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School

  Co-Author: Massimiliano Russo – The Ohio State University