Presentations

30+ talks from R/Pharma 2025 across 8 thematic sessions

Overview

The R/Pharma 2025 conference featured over 30 presentations organized into 8 Europe/US thematic sessions and an Asia/Pacific session. These talks covered the latest innovations, case studies, and strategic insights in using R for pharmaceutical research and development.


πŸ“ Browse by Region

🌍 Europe/US Sessions

8 thematic sessions covering:

  • πŸ€– Practical AI for data science
  • πŸ“Š Advanced analytics and tools
  • 🏒 Enterprise transformations
  • βœ… Validation approaches
  • πŸš€ Innovation case studies

Featured presentations:

  • GSK’s Journey to Open Source
  • Mosaic: ARS-Driven TFL Automation
  • {llumen}: Agentic LLM Framework
  • GenAI in Production

Explore Europe/US sessions β†’

🌏 Asia/Pacific Presentations

13 presentations featuring:

  • πŸ›οΈ Open-source culture and strategy
  • βš™οΈ Automation and efficiency tools
  • πŸ€– AI and LLM implementations
  • πŸ“‹ Regulatory compliance (PMDA)
  • πŸ”¬ Specialized applications

Highlights:

  • SHIONOGI’s Open-Source Strategy
  • {meRlin}: AI Assistant for Clinical Programming
  • Dynamic K-M Plots with Shiny
  • PMDA e-CRT Creation

Explore Asia/Pacific presentations β†’


πŸ”₯ Top Themes

πŸ€– AI & LLM Integration

8+ presentations on artificial intelligence:

  • Practical AI for secure deployments
  • Agentic frameworks ({llumen}, {mcpr})
  • LLM-powered clinical data review
  • Multi-agent R copilots
  • AI assistants for programming

πŸ“Š Clinical Reporting Automation

10+ presentations on streamlining TFLs and reports:

  • ARS-driven automation (Mosaic)
  • {crane} extending {gtsummary}
  • autoslideR for slide generation
  • Template-based DMC materials
  • Interactive Shiny applications

βœ… Validation & Compliance

6+ presentations on GxP and regulatory topics:

  • Shiny apps in regulated environments
  • R library validation with ATDD
  • Risk assessment frameworks
  • Code review best practices
  • Metric repositories for quality assessment

πŸš€ Enterprise Adoption

5+ presentations on organizational transformation:

  • GSK’s 50%+ open-source journey
  • Beyond training: R support models
  • SAS to R migration strategies
  • Pfizer’s RWD programming infrastructure
  • Collaborative programming with traceability

πŸ“ˆ Advanced Methods

8+ presentations on statistical and ML approaches:

  • Bayesian exposure-response analysis
  • TabPFN for tabular data
  • Synthetic data generation
  • NCA software implementation
  • Survival analysis automation

πŸ“Š Session Breakdown

Europe/US Sessions

Session 1: Practical AI & Industry Adoption

  • Practical AI for Data Science (Posit)
  • duckplyr: DuckDB with dplyr (Cynkra)
  • Beyond Training: R Adoption (GSK)
  • Validating Shiny Apps (Jumping Rivers)
  • Beyond {gtsummary}: {crane} (Genentech)

Session 2: Advanced AI Systems

  • {llumen}: Agentic Framework (Merck KGaA)
  • MCP Servers in R (Opifex)

Session 3: Automation & Innovation

  • Mosaic: ARS-Driven TFLs (Novartis)
  • Collaborative Programming (Graticule)

Session 4: Machine Learning & Tools

  • TabPFN for Tabular Data (Posit)
  • LLM Lounge with Databot (Posit)
  • LLM-Powered {gtsummary} (Roche)
  • Post-Approval Exposure (AstraZeneca)
  • End-to-End NCA (Lucid Analytics)
  • {admiral}’s Journey (Roche)

Session 5: Enterprise Transformation

  • GSK’s Open Source Journey (GSK)

Session 6: AI Integration Case Studies

  • ellmer + GPT in Shiny (Moderna)
  • autoslideR (Roche)
  • R in RWD (Pfizer)
  • Synthetic Data (Abbott)

Session 7: Advanced Innovation

  • GenAI in Production (A2-AI)
  • Ultimate R AI Assistant (Roche)
  • Dependency Whisperer (Eli Lilly)
  • BayesERtools (Genentech)

Session 8: Regulatory & Methods

  • Covariate Adjustment (Novartis)
  • R Library Validation (ex-Novartis)

Asia/Pacific Session

13 presentations covering strategic initiatives, automation tools, AI implementations, and regional regulatory requirements (especially PMDA).


🏒 Organizations Represented

Major pharmaceutical companies and organizations presenting:

  • Posit (6+ presentations)
  • Roche/Genentech (5+ presentations)
  • GSK (2 presentations)
  • Novartis (2 presentations)
  • Eli Lilly (2 presentations)
  • Pfizer (1 presentation)
  • Moderna (1 presentation)
  • AstraZeneca (1 presentation)
  • Merck KGaA (1 presentation)
  • Abbott (1 presentation)
  • SHIONOGI (1 presentation)
  • A2-AI (1 presentation)
  • Jumping Rivers (1 presentation)
  • Cynkra (1 presentation)
  • Opifex (1 presentation)
  • Lucid Analytics (1 presentation)
  • Graticule (1 presentation)
  • CIMS Global (2 presentations)
  • Amaris Consulting (1 presentation)

πŸ“ˆ Presentation Statistics

30+

Total Presentations

8

EU/US Sessions

13

Asia/Pacific

20+

Organizations


πŸ’‘ Key Takeaways

Industry Transformation

  • GSK leading with 50%+ R code target achieved
  • Major pharma embracing open-source workflows
  • SAS to R migration gaining momentum

AI Revolution

  • Practical, production-ready implementations
  • Privacy-preserving approaches for clinical data
  • Agentic systems and tool orchestration

Standards Adoption

  • CDISC ARS/ARM driving automation
  • Harmonized outputs across organizations
  • Machine-readable analysis results

Validation Maturity

  • Risk-based approaches becoming standard
  • Shared metric repositories emerging
  • GxP-ready Shiny applications feasible

TipWant More Details?

Most presentations include links to GitHub repositories, slides, or additional resources. Check the individual session pages for:

  • πŸ“Ž Links to materials
  • πŸ”— GitHub repositories
  • πŸ“Š Presentation slides
  • πŸ“§ Speaker contact information

All presentations from R/Pharma 2025 Conference | Last updated: November 2025