Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Phil Bowsher
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Phil Bowsher — Indexed Papers
Publications credited to Phil Bowsher in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
25 papers · Showing 1–25
Agentic R in Clinical Trials: Empowering Statistical Programmers with Open Source LLM Packages & Positron Tools
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Phil Bowsher
Current Review of Open Source in New Drug Applications: R & Python
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Phil Bowsher
Introduction to Positron & AI Tooling in Clinical Reporting
Source category: Hands-On Training
Author collections: Phil Bowsher
Perspective on Enterprise AI and Posit Tooling
Source category: Emerging Trends & Innovation
Author collections: Phil Bowsher
Voice-driven Data Science: Real-Time Data Analysis with R
Source category: Data Visualization & Interactive Analytics
Author collections: Phil Bowsher
Voice–Driven Agent–Assisted Open–Source Data Science
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Phil Bowsher
Shiny & LLMs: Landscape and Applications in Pharma
Source category: R, Python, and Open Source Technologies
Author collections: Phil Bowsher
Trying Out Positron: New IDE for Statistical Programming
Source category: Hands-On Training
Author collections: Phil Bowsher
GenAI to Enhance Your Statistical Programming
Source category: Hands-On Training
Author collections: Phil Bowsher
Becoming an Integrated Part of the Open-Source Pharma Community
Source category: Leadership Through Innovation
Author collections: Phil Bowsher
Blastula for Communicating Clinical Insights with R via Email
Source category: Hands-On Training
Author collections: Phil Bowsher
R Package Quality & Validation: Current Landscape
Source category: Solution Development
Author collections: Phil Bowsher
R Tables via GT for Regulatory Submissions
Source category: Quick Programming Tips
Author collections: Phil Bowsher
Managing Multiple Versions of R in a Clinical Environment
Source category: Analytics and Statistics
Author collections: Phil Bowsher · Sean Lopp
Productionalizing Shiny Deployments
Source category: Applications Development
Author collections: Phil Bowsher · Sean Lopp
R & Python for Drug Development
Source category: Hands-On Training
Author collections: Phil Bowsher · Sean Lopp
R Clinical Cloud Strategy Developments
Source category: Poster Presentation
Author collections: Phil Bowsher · Sean Lopp
R Reproducibility Best Practices for Pharma
Source category: Advanced Programming
Author collections: Phil Bowsher · Sean Lopp
R Validation: Approaches and Considerations
Source category: Strategic Implementation
Author collections: Phil Bowsher · Sean Lopp
Transitioning to R for Clinical Submissions
Source category: Programming Languages
Author collections: Phil Bowsher · Sean Lopp
R & Python for Clinical Workflows
Source category: Trends & Technology
Author collections: Phil Bowsher
R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy
Source category: Machine Learning
Author collections: Phil Bowsher
Panel Discussion: Speaking Data Science, Who is Ready to Listen?
Source category: Leadership and Career Development
Author collections: Priscilla Gathoni · Phil Bowsher · Kevin Lee
TT11 How Do I Pick an R Package for My Clinical Workflow?
Source category: Trends & Technology
Author collections: Phil Bowsher