Thanks to everyone who presented a paper at PharmaSUG 2025. There were many outstanding paper presentations. The section chairs awarded the status of Best Paper to the following papers:

Advanced Programming

AP-053. Implementing Data Checks for Patient Registries — A Modular Approach
John Gerlach, Navitas Life Sciences
Elizabeth Loisel, Sanofi

AP-151. Sugar Rush: SQL Master Class for Pharma Professionals
Charu Shankar, SAS Institute

AP-217. Automating SAS Program Header Updates with Macros
Kexin Guan, Merck & Co., Inc.

Artificial Intelligence and Machine Learning

AI-214. Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights
Max Ma, Everest Clinical Research Corporation
Weijie Yang, Everest Clinical Research Inc.
Emily Ma, University of Toronto

Data Standards

DS-316. Cytokine Release Syndrome (CRS) – Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial
Cyrille Correia, PPD
Venky Chakravarthy, Takeda

Data Visualization and Reporting

DV-219. Zero to Hero: The Making of a Comprehensive R Shiny Figures App
Yi Guo, Pfizer Inc.
Matthew Salzano, Pfizer Inc.
Nicholas Sun, Pfizer Inc.

e-Posters

PO-252. Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI)
Felix Just, Daiichi Sankyo
Krishna Padmanabhan, Cytel
Parth Jinger, Cytel
Amanda Borrow, Daiichi Sankyo
Rüdiger Smolnik, Daiichi Sankyo
Eva-Maria Fronk, Daiichi Sankyo

Leadership and Professional Development

LS-232. AI is coming for you: New Biometric Leadership in the era of Gen AI
Kevin Lee, Clinvia

Metadata Management

MM-265. AI Empowered Metadata Governance
Prasoon Sangwan, TCS

R, Python, and Open Source Technologies

OS-290. Packing PDF TFL with Table of Contents and Bookmarks Using Python
Jun Yang, Avidity Bioscience
Yan Moore, Avidity Bioscience

OS-395. Shiny & LLMs: Landscape and Applications in Pharma
Phil Bowsher, RStudio Inc.

Real World Evidence and Big Data

RW-042. Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission
Rachana Agarwal, Servier Pharmaceutical
Wendy Wang, Servier Pharmaceuticals

Solution Development

SD-054. Automated Word Report Generation for Standardized CMC PC Study with Programmatically Inserted Contents in R
Song Liu, Merck & Co., Inc
Jiannan Kang, Merck

SD-339. Improve Your CRF Review Process: A Python-Based Approach to Capturing CRFs via Browser Automation
Andrew Herndon, Spark Therapeutics

Statistics and Analytics

SA-173. Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS
Darren Scott, AstraZeneca
Armando Turchetta, AstraZeneca

Strategic Implementation & Innovation

SI-294. A Game Changer for Efficient SAS Programming using ChatGPT
Jyoti (Jo) Agarwal, Gilead Sciences

Submission Standards

SS-146. Handling Health Regulatory Information Requests: Best Practices and Strategies
Himanshu Patel, Merck & Co.
Chintan Pandya, Merck & Co.