PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
Beyond Today’s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact AI-345
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PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
Practical Lessons in AI-Assisted Metadata Conversion: From Database Specs to EDC and SDTM — Successes, Pitfalls, and Practical Implementation AI-352
PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
Using Large Language Models to Validate TLF Outputs Against Statistical Review Comments: An End-to-End Python Framework AI-362
PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
A specification-driven approach to improve the reliability of AI-generated SDTM transformation programs AI-420
PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation AI-431
PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. AI-432
PharmaSUG2026paper·US·AI in Pharma, Biotech and Clinical Data Science
Operationalizing Generative AI in Regulated Analytics: Applied Implementation Patterns for Enterprise Deployment AI-438
PharmaSUG2026paper·US·Advanced Programming
Take CoMmanD of Your Log: Using CMD to Check Your SAS® Program Logs AP-011
PharmaSUG2026paper·US·Advanced Programming
ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation AP-116
PharmaSUG2026paper·US·Advanced Programming
Implementing Laboratory Toxicity Grading for CTCAE Version 6 and Beyond AP-127
PharmaSUG2026paper·US·Advanced Programming
Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=… 😉 AP-128
PharmaSUG2026paper·US·Advanced Programming
AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability AP-146
PharmaSUG2026paper·US·Advanced Programming
The Tipsy Hangover: Avoiding Indent Headaches in SAS Reports AP-148
PharmaSUG2026paper·US·Advanced Programming
Applications of PROC COMPARE to parallel programming and other projects AP-158
PharmaSUG2026paper·US·Advanced Programming
Speeding Up Your Validation Process is As Easy As 1, 2 and 3 AP-159
PharmaSUG2026paper·US·Advanced Programming
Programming Challenges in Developing PRO Analysis Datasets Under FDA’s New Submission Guidance AP-208
PharmaSUG2026paper·US·Advanced Programming
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging AP-211