| PharmaSUG |
2026 |
Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron |
|
source |
6 |
| PharmaSUG |
2026 |
Agentic R in Clinical Trials: Empowering Statistical Programmers with Open Source LLM Packages & Positron Tools |
|
source |
15 |
| PharmaSUG |
2026 |
Current Review of Open Source in New Drug Applications: R & Python |
|
source |
3 |
| PharmaSUG |
2026 |
Voice-driven Data Science: Real-Time Data Analysis with R |
|
source |
16 |
| PHUSE US |
2026 |
Perspective on Enterprise AI and Posit Tooling |
|
source
presentation source |
22 |
| PHUSE US |
2026 |
Voice-Driven Agent-Assisted Open-Source Data Science |
|
source
presentation source |
10 |
| PharmaSUG |
2025 |
Shiny & LLMs: Landscape and Applications in Pharma |
|
source |
17 |
| PharmaSUG |
2025 |
Trying Out Positron: New IDE for Statistical Programming |
|
source |
10 |
| PHUSE US |
2025 |
Posit Team: Metadata-Driven Risk Assessment and Surfacing Validated R Packages |
Michael Mayer |
source
presentation source |
5 |
| PHUSE US |
2025 |
Positron: Overview for Pharma |
Cole Arendt |
source
presentation source |
18 |
| PHUSE EU |
2024 |
Advances in Clinical Table Creation - Python Updates |
Michael Chow |
source
presentation source |
12 |
| PHUSE EU |
2024 |
Serverless Shiny - Evolving Landscape of Clinical Analytics |
George Stagg |
source
presentation source |
5 |
| PHUSE EU |
2024 |
SLURM + Open-Source Clinical Workflows: Current State |
Michael Mayer |
source
presentation source |
4 |
| PharmaSUG |
2024 |
GenAI to Enhance Your Statistical Programming |
|
source |
13 |
| PHUSE US |
2024 |
A Review of Open Source in New Drug Applications: Current Trends [presentation] |
|
source |
24 |
| PHUSE US |
2024 |
AI Exploration and Innovation for the Clinical Data Scientist |
Cole Arendt |
source
presentation source |
15 |
| PHUSE US |
2024 |
Posit/RStudio Pharma Updates: Reproducibility and Beyond |
Cole Arendt |
source
presentation source |
14 |
| PHUSE EU |
2023 |
Becoming an Integrated Part of the Open-Source Pharma Community |
|
source
presentation source |
11 |
| PharmaSUG |
2023 |
Blastula for Communicating Clinical Insights with R via Email |
|
source |
27 |
| PharmaSUG |
2023 |
R Package Quality & Validation: Current Landscape |
|
source |
9 |
| PharmaSUG |
2023 |
R Tables via GT for Regulatory Submissions |
|
source |
19 |
| PHUSE US |
2023 |
Shiny for Submissions [presentation] |
Eric Nantz |
source |
22 |
| PHUSE US |
2023 |
Using renv and RStudio Package Manager for Clinical Reproducibility [presentation] |
|
source
video |
13 |
| PHUSE US |
2022 |
RStudio Pharma Updates: 2021 Year in Review and Beyond [presentation] |
|
source
video |
18 |
| PHUSE US |
2021 |
Managing Multiple Versions of R in a Clinical Environment [presentation] |
Sean Lopp |
source
video |
19 |
| PHUSE US |
2021 |
R Clinical Cloud Strategy Developments [poster] |
Sean Lopp |
source |
1 |
| PHUSE US |
2021 |
Transitioning to R for Clinical Submissions [presentation] |
Sean Lopp |
source |
16 |
| PharmaSUG |
2021 |
Productionalizing Shiny Deployments |
Sean Lopp |
source |
6 |
| PharmaSUG |
2021 |
R & PYTHON FOR DRUG DEVELOPMENT |
Sean Lopp |
source |
117 |
| PharmaSUG |
2021 |
R Reproducibility Best Practices for Pharma |
Sean Lopp |
source |
4 |
| PharmaSUG |
2021 |
R Validation: Approaches and Considerations |
Sean Lopp |
source |
3 |
| PHUSE US |
2020 |
R & Python for Clinical Workflows |
|
source |
13 |
| PHUSE US |
2020 |
R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy |
|
source |
14 |
| PHUSE US |
2019 |
How Do I Pick an R Package for My Clinical Workflow? |
|
source
presentation source |
18 |
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