PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R and Python ET02 APAC · Hyderabad
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Conference Papers
13,885
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Papers
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PHUSE2026·Connect·Emerging Trends & Open Source Technologies
OPS Builder: Navigating the Cosmos of Study Deliverables with Stellar Automation ET03 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Accelerating Pharma Innovation: The Role of SAS Synthetic Data ET04 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Integrating R Programming and Generative AI for Prompt-Driven Clinical Trial Data Analysis ET05 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Leveraging Historical Control Data Through Adaptive Bayesian Hierarchical Models ET06 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Legacy to Leading Edge: Reinventing Biostats Programming with Open Source, AI and Agile Innovation ET07 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using an R Shiny-Based Application) ET08 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
RIP – Inconsistent Metadata Specifications with RAP (R And Python). Generate Specs Faster and Detect Early Errors to Speed Up Submissions ET09 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Open-Source Frameworks for Scalable Data Quality Orchestration in Clinical Data Pipelines ET10 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
ValoRpacks – Self-Service R Package Validation ET12 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Accelerating Regulatory Submissions with R: A Scalable and Compliant Approach ET13 APAC · Hyderabad
PHUSE2026·Connect·Emerging Trends & Open Source Technologies
Unveiling Powerful Patient Data Insights Through Graph Databases ET15 APAC · Hyderabad
PHUSE2026·Connect·Industry Standards
Deriving Phantom Records in BDS Datasets To Support the FDA’s Standard Safety Figures for Missing Data Analysis DS01 US · Austin
PHUSE2026·Connect·Industry Standards
CDISC 360i Demo: Automating from Study Design to Submission DS02 US · Austin
PHUSE2026·Connect·Industry Standards
Mapping Minimal Residual Disease (MRD) Biomarker Data in Haematologic Malignancies: Clinical Significance and Data Standards in SDTM and ADaM DS03 US · Austin
PHUSE2026·Connect·Industry Standards
Around the Data DOSE-y Doe: Using DOSExx Variables within ADaM Datasets DS04 US · Austin
PHUSE2026·Connect·Industry Standards
From ATC to ACG: Implementing the Concomitant Medication Grouping (ACG) Dataset in Clinical Trial Analysis DS05 US · Austin
PHUSE2026·Connect·Industry Standards
Building High-Quality SDTM from Real-World Data: Lessons and Solutions DS06 US · Austin
PHUSE2026·Connect·Industry Standards
The Revolution of Digitised Study Designs: Standards, Use Cases and Tools DS07 US · Austin
PHUSE2026·Connect·Industry Standards
Case Study: Leveraging CDISC CORE for Proactive SDTM Compliance and Submission Readiness DS08 US · Austin