PHUSE2026·Connect·Technology & ApplicationsNext Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group ET09 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsThriving in Change: Building People, Process and Technology Capabilities in Statistical Programming ET10 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsAn R Shiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making ET11 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsFrom SAS to Cursor: Vibe-Coding into SAS, R & Python ET12 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsRule-Based Auto-SDTM Mapping Software in Python, Which Automatically Generates Executable SAS or R Programs ET13 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsAI Reading and Understanding the SAP to Generate the TFL TOC ET14 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsAI-Powered Approach for Faster, More Efficient Authoring of Clinical and Regulatory Documents ET15 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsOrchestrating Efficiency: Symphony and Composer in Clinical Reporting ET17 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsRethinking Data Quality - From Fragmented Checks to Connected Insights ET18 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsCode Switching: Parallels Between Human Languages and Multilingual Programming ET19 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsChallenges and Solutions for Generating Synthetic CDISC Data ET20 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsBusiness Event Triggers – The Next Level of Automation ET21 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsWhat Pharma Can Learn from Data Science Outside the Industry ET22 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsThe Clinical Data Lake: Empowering the Data Caterer Vision with Veeva, SAS and Open Source ET23 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsR We There Yet? A Readiness-Assessment Framework for Adoption of R and Open-Source Solutions ET24 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsPerspective on Enterprise AI and Posit Tooling ET26 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsScaling for the Future: Transitioning from In-House to Commercial Statistical Computing Environments ET27 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsOpen Source Pavilion: Beyond Validation Checkboxes: Building Future-Ready GxP Strategies for Open Source OPENSOURCEPAVILION US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsHow R We Now? Tracking Industry Progress in Adopting R and Open-Source for Clinical Reporting OS01 US · AustinSee metadata
PHUSE2026·Connect·Technology & ApplicationsMachine Learning Model for Risk Qualification of R Libraries OS02 US · AustinSee metadata