| PharmaSUG |
2026 |
Eliminating QC Programming Duplication Through Claude AI-Assisted Independent Code Generation: A Practical Framework for Regulatory-Compliant Validation |
Jason Zhang |
source |
13 |
| PharmaSUG |
2026 |
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging |
Ming Yang |
source |
18 |
| PharmaSUG |
2025 |
Comparing SQL and Graph Database Query Methods for Answering Clinical Trial Questions with LLM-Powered Pipelines |
|
source |
24 |
| PharmaSUG |
2025 |
Gen AI Assisted Code Conversion: From SAS to R Standard ADaM Templates |
Jeff Cheng, Srinivas Malipeddi, Gurubaran Veeravel, Suhas R. Sanjee |
source |
11 |
| PHUSE US |
2025 |
A Novel Pipeline for Generating Realistic Synthetic CDISC ADaM Datasets Using Large Language Models and Knowledge Graphs |
Chao Su |
source presentation source |
15 |
| PHUSE US |
2025 |
An End-to-End Approach to Fine-Tuning Small LLMs for Generating Admiral R Code in Statistical Programming |
Tingting Tian |
source presentation source |
15 |
| PHUSE US |
2025 |
Automating SAS and R Code Interpretation and Debugging: A Practical Pipeline for Statistical Programmers |
Tingting Tian |
source presentation source |
13 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
|
source presentation source |
28 |
| PharmaSUG |
2024 |
LLM-Enhanced Training Agent for Statistical Programming |
Jason Zhang |
source |
8 |
| PharmaSUG |
2024 |
Methodology for Automating TOC Extraction from Word Documents to Excel |
Jeetender Chauhan, Madhusudhan Ginnaram, Sarad Nepal |
source |
5 |
| PHUSE US |
2024 |
AI-Enhanced Chatbot for Streamlined Clinical Trial Analysis and Document Management |
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source presentation source |
7 |
| PharmaSUG |
2023 |
A Macro Utility for CDISC Datasets Cross Checking |
Chao Su, Changhong Shi |
source |
9 |
| PharmaSUG |
2023 |
Tips to Read In and Output Excel Spreadsheets in SAS |
Chao Su, Changhong Shi |
source |
5 |