“Will AI Render Programmers Obsolete?”
Source category: Machine Learning, AI and Large Language Models
Author collections: Kishore Pothuri · Ajay Gunda
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PHUSE 2025 Papers Archive
Browse indexed publications from PHUSE in 2025. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
438 papers · Showing 1–40
{AdmiralMetabolic}: A Collaborative Journey To Develop an Admiral Extension Package for Metabolic Data
Source category: Open Source Technologies (OS)
{sdtm.oak} – SDTM Programming in R
Source category: Poster Presentations
Author collections: Rammprasad Ganapathy
{teal.builder}: Our Journey After One Year
Source category: Software Demonstrations
Author collections: Andre Couturier · Freeman Wang
%CallR
Source category: Poster Presentations (PP)
Author collections: Duong Tran
4 Steps to Revolutionise Clinical Data Processes: Harnessing Cryptographic Technology for Seamless Interoperability
Source category: Data Handling & Engineering
Author collections: Alistair Dootson
A Code Assistant for Clinical Trial Tables
Source category: Poster Presentations (PP)
A Collaborative Fast Track to Clinical Data Flow Modernisation and Standards Governance Implementation
Source category: Standards Implementation (SI)
Author collections: Paul Vervuren · Roger Gagali Angoh
A Customised Algorithm to Evaluate the Quality and Reliability of Real-World Lab Data
Source category: Real-world Evidence
Author collections: Lihai Song
A Gen AI Agent for Statistical Output Review
Source category: Machine Learning, AI and Large Language Models
Author collections: Peng Zhang · Lizhong Liu
A Guided User Experience for Automated Mapping
Source category: Data Handling & Engineering
Author collections: Nathan Johnson
A Journey Through an Innovative Approach to the Migration of a Legacy System to a New Multilingual Statistical Computing Environment (SCE)
Source category: Emerging Trends
Author collections: Kajal Tahiliani · Amit Jain
A New Approach to Visualising Adverse Events
Source category: Emerging Trends
Author collections: Madhumita Ghosh · Eva Kelty
A New Gateway to Open Source in SAS
Source category: Coding Tips & Tricks (CT)
Author collections: Jim Box
A Novel Pipeline for Generating Realistic Synthetic CDISC ADaM Datasets Using Large Language Models and Knowledge Graphs
Source category: Machine Learning, AI and Large Language Models
A Smarter Way To Track QC: Integrated Workflows in a GxP-Validated Statistical Computing Environment
Source category: Software Demonstrations (SD)
Author collections: Jim Coates
A Splash in Time Insights into a Data Pooling Time Machine
Source category: Data Handling & Data Engineering (DH)
Author collections: Dana Vinzelberg
Accelerating Data Integration: Using Python Scripts and Semantic Search for Variable Mapping in Multiple Studies
Source category: Machine Learning, AI and Large Language Models
Author collections: Xiaopeng Li
Accelerating Patient Safety with Knowledge Graphs: Lessons from a Successful Implementation
Source category: Software Demonstrations
Accelerating PKPD Analysis with Automated DDI Variable Creation: An SAS-Based Approach
Source category: Scripts, Macros & Automation
Accelerating Shiny Application Development and Validation with Rhino
Source category: OS
Author collections: André Veríssimo · Vedha Viyash
Actual Intelligence and Artificial Intelligence Joining Forces to Perform Statistical Analysis, Turning AI Hype into Reality
Source category: Machine Learning, AI and Large Language Models
Author collections: Songgu Xie · Toshio Kimura
ADaM Conformance Rules: Bridging the Gap Between Standards and Practice
Source category: Data Standards & Governance (DS)
Author collections: Rafik Ghazaryan
Adapting Leadership in Statistical Programming: Navigating Technological Advancements and Evolving Roles in the Pharmaceutical Industry
Source category: Emerging Trends
Advanced Clinical Data Visualisation Using Violin Plots in R
Source category: Emerging Trends
Author collections: Shashikant Kumar · Mrityunjay Kumar
Advancing Automated Non-Compartmental Analysis with R Shiny
Source category: Open Source Technologies (OS)
Advancing Safety Evaluation in Oncology Trials Using Estimands
Source category: Analytics & Statistics
Author collections: Reshma Radhakrishnan · Lakshmi Mantha
Advancing TFL Automation: R-Based Meta-Programming Powered by ARS
Source category: OS
Author collections: Malan Bosman
AI Chatbot in an SCE
Source category: Software Demonstrations (SD)
Author collections: Shivoy Pandita · Marc Jantke
AI Ethical Considerations in Drug Development and Regulatory Review
Source category: Machine Learning, AI and Large Language Models
Author collections: Tara Chavda · Qingying Ally Lu
AI-Infused Leadership: Empowering C-Suite Decisions with Code-Driven Insights
Source category: Professional Development
Author collections: Ravindra Shukla · Aman Bahl
AI-Native Issue-Risk Intelligence: Connecting Issues to Known Risks and Identifying Emerging Risks
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Lawrence Dennison-Hall
An End-to-End Approach to Fine-Tuning Small LLMs for Generating Admiral R Code in Statistical Programming
Source category: OS
Author collections: Tingting Tian · Jaime Yan
An Evaluation of Data Formats for Clinical Reporting in a Multilingual Environment
Source category: Trends & Technology (TT)
An Evolving Role of Statistical Programmers: Leveraging New Capabilities in Open-Source Environments
Source category: Open Source Technologies (OS)
An Integrated Approach to Protocol Deviation Management
Source category: Poster Presentations
Author collections: Jason Konn
An Integrated J&J Platform To Enable Sustainable Clinical Trial Design
Source category: Application Development (AD)
Author collections: Archana Nayak
An Intuitive Way to Derive the Last Known Alive Date in R
Source category: Scripts, Macros & Automation
Author collections: Marckenley Mercie · Diana Tai
API Interactivity with SAS: A Focus on JSON
Source category: Poster Presentations
Author collections: Mary Dolegowski · Pritesh Desai
Applications of Machine Learning and Artificial Intelligence in Real-World Data in Personalised Medicine for Non-Small Cell Lung Cancer Patients
Source category: Real-world Evidence
Author collections: Samiul Haque · Sherrine Eid