From Statistical Programming to AI Automation in Data Management: A Cross-Departmental Tech Journey
Source category: Professional Development (PD)
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PHUSE 2025 Papers ArchivePage 5
Browse indexed publications from PHUSE in 2025. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
438 papers · Showing 161–200
From Topline to Triumph: Visualising the Pathways to Regulatory Approval
Source category: Poster Presentations
Author collections: Jasperlynn Kao
From XPT to Dataset-JSON: Enabling Real-Time Validation and Streamlined Submissions
Source category: Standards Implementation (SI)
Author collections: Sebastià Barceló
From Zero to Programming Hero: How Internships Shape Statistical Programmers in CROs
Source category: Professional Development (PD)
Fun With Figures
Source category: Coding Tips & Tricks (CT)
Author collections: Miriam Amor
Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning
Source category: Data Standards & Governance
Author collections: Shivoy Pandita
Gen AI in People Leadership: Unlocking Engagement and Inclusivity
Source category: Professional Development
Author collections: Rinki Jajoo · Shaveta Bansal
Gen AI-Powered Trial Performance Co-Pilot to Accelerate Clinical Trials
Source category: Machine Learning, AI and Large Language Models
Gen-AI for Statistical Reporting and CSR Writing Leveraging CDISC ARS Model
Source category: Machine Learning, AI and Large Language Models
Author collections: Navin Dedhia
Generate Clinical Study Reports (CSRs) Using {quarto} and {shiny}
Source category: OS
Author collections: Peng Zhang
GLMM and GEE for Categorical Repeated Measures Linking SAS and R
Source category: Analytics & Statistics (AS)
Author collections: Miriam Amor
GPT-Powered Data Insights: Advancing Clinical Data Analytics with Large Language Models (LLMs)
Source category: Machine Learning, AI and Large Language Models
Author collections: Melanie Hullings
gridify: Enrich Figures and Tables with Custom Headers and Footers
Source category: Poster Presentations (PP)
Author collections: Maciej Nasinski · Alexandra Wall
Guiding the Direction of Open-Source Development for Faster End-to-End HTA Submissions
Source category: Open Source Technologies (OS)
Author collections: Christian Olsen · Stephen McCawille
Harmonising Heterogeneity: Orchestrating Innovation Through Interdisciplinary Collaboration and Strategic Alignment
Source category: Professional Development
Author collections: Srinivas Veeragoni
Harnessing Analysis Results Datasets (ARDs) for Clinical Reporting in R: Our First ARD-Based Filing Experience
Source category: OS
Author collections: Daniel Sjoberg
Harnessing the Power of Interactive SAS Outputs Through SASpy in a Flask
Source category: Application Development (AD)
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use
Source category: OS
Author collections: Sanyogeeta Andhale · Shilpa Sood
Hash-ing It Out: Bringing SAS to the Next Level
Source category: Coding Tips & Tricks (CT)
Author collections: Lara Suckut
Health Authority Interactions and Communication During the Submission Process
Source category: Submissions & Agencies
Author collections: Ritesh Dhimmar · Raman Bassi
Health Equity Explorer: Technical Deep Dive into an R Shiny Application for Revealing Structural Inequity and Systemic Racism in Healthcare
Source category: Emerging Trends
How Can Agile R Package Validation Workflows Be Achieved?
Source category: Poster Presentations (PP)
How Does a Computer Really Process Your SAS Code?
Source category: Coding Tips & Tricks (CT)
Author collections: Ben Barnaby-Pass
How To Become a More Productive Programmer Using LLMs (Lots of Limb Movements)
Source category: Professional Development (PD)
How to Identify and Operationalise GenAI Use Cases Which Really Help You
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Christoph Bergen
How To Map Lab Data into the LB Domain and ADLB
Source category: Poster Presentations (PP)
How Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments?
Source category: Data Standards & Governance
Author collections: Rama Kudaravalli
Human in or Human out of the Loop: Impact and Things To Consider While Deploying AI
Source category: Leadership Through Innovation (LI)
Author collections: Olivier Bouchard
Human in the Middle: Accelerating with AI, Anchored in Quality
Source category: Trends & Technology (TT)
Author collections: Christopher White · Melanie Hullings
Hybrid Way To Develop Patient Narratives
Source category: Application Development (AD)
Author collections: Loskutov Volodymyr
IDDAI: Automating the Tedious So You Can Focus on the Genius
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Lionel Debecq
Implementation of a Risk-Governed, Reproducible and Collaborative R Workflow for Real World Evidence Projects
Source category: Poster Presentations
Author collections: Lihai Song
Implementing ADNCA in the PK Process: A Cross-Departmental Approach
Source category: Poster Presentations (PP)
Author collections: Daphne Vuurstaek
Improvement on Sankey Diagram SAS Macro and Implementation
Source category: Scripts, Macros & Automation
Author collections: Alvin Mathew
Innovative Cloud Solution for Advanced Image Analysis
Source category: Data Handling & Engineering
Author collections: Gopal Joshi · Sanjay Koshatwar
Innovative Data Cleaning to Prevent Unblinding Errors in Double-Blind Trials
Source category: Analytics Risk-based Monitoring
Author collections: Ling Zhang
Innovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency
Source category: Data Standards & Governance
Author collections: Rohan Parmar
Integrating Gen AI with an Open-Source Toolkit for Clinical Insight Generation to Boost Data Science Efficiency
Source category: OS
Author collections: Vincent Shen
Integration of AI with R Studio: Advantages and Disadvantages
Source category: Machine Learning, AI and Large Language Models
Author collections: Mahesh Minnakanti
Intelligent Automation in Anonymisation for CTIS Submission
Source category: Machine Learning, AI and Large Language Models
Author collections: Pinku Hooda