2024 Conference

Good Software Engineering Practice for R Packages

Daniel Sabanés Bové and Joe Zhu, RCONIS | Roche

The Near-Future of Regulatory Submissions: Embracing Reproducibility, Open Source, and Interactivity

Davide Garolini and Leena Khatri, Roche

Shiny Application Development and Validation with Rhino

Deepansh Khurana, Appsilon

SDTM programming in R using {sdtm.oak} package

Rammprasad Ganapathy, Genentech

Unlocking Analysis Results Datasets: A Practical Workshop for Creating and Utilizing ARDs for Clinical Reporting

Becca Krouse and Daniel Sjoberg, GSK | Genentech

Bayesian Dose-Response Modeling with the dreamer R Package

Richard Payne, Eli Lilly

Reproducible and scalable reporting using rmarkdown & heddlr

Farid Azouaou, Thaink

Opening Remarks - Harvey Lieberman (R/Pharma, Novartis)

Summer is Coming: AI for R, Shiny, and Pharma

Joe Cheng, Posit

Break

From hours to minutes: accelerating your tidymodels code

Simon Couch, Posit

From Annoying to Automated: Running Tests with GitHub Actions

Veerle Eeftink - van Leemput, Hypebright BV

The R Validation Hubs Year Ahead

Doug Kelkhoff, Roche

Accelerating Cancer Drug Discovery: Harnessing the Power of tempusverse on the Tempus Lens Platform

Nitesh Turaga, Tempus

Break

A Novel yet Practical Bayesian Evaluation of Benefits and Risks for Medical Products with a Companion R-Shiny Application

Saurabh Mukhopadhyay, Abbive

Code that Cures: Validating GxP-Compliant R Shiny Apps for Clinical Decisions

Emily Yates, Formation Bio

Using R to Return Clinical Trial Data to Participants

Sam Parmar, Pfizer

Integrating AI Assistants into Shiny Apps: Simplify Development and Enhance User Experience

James Wade, Dow

Break

Knowledge Management using R Shiny Apps to harness the Power of Connected Data

Ajitha Srinivasan and Rebecca Roth, Amgen

Building pathways for Inclusive life sciences and tech careers : Learnings from useR!2024 panel. Followed by discussion with attendees

Audrey Yeo, Magdalena Krochmal and Daphne Grasselly, Roche

Opening Remarks - Daniel Sabanés Bové (RCONIS)

Joe Cheng’s Keynote

Joe Cheng, Posit

Discussion of Joe Cheng’s Keynote

Break

Take It, Build It and Own It

Chengqian Wang and Steven Ting, Novartis | Cytel

Introduction to R Implementation and Educational Initiatives for SAS Programmers

Toshiki Iwai, Tomoyuki Namai and Yanli Chang, Chugai | Novartis

Break

China: new region, new topics, new perspectives and new heights

Joe Zhu, Baoqing Li, Xiuting Mi and Yanli Chang, Roche | J&J | Novartis

Clinical Analysis Report and Visualization Ensemble in R (carver)

Smitha Ankinakatte, Aravind Reddy and Smriti Anand, Syncorp Health | Pfizer

Break

Automation of reporting statistical results with R (mocktables, summary tables, result narrations)

Smitha Ankinakatte and Steven Ting, Syncorp Health | Cytel

Customize and Generate Clinical Study Report (CSR) document using {quarto}

Steven Ting and Vivian Chang, Cytel | CIMS Global

Exploring interactive analytics with teal: supporting efficient communication in clinical science

Steven Ting, Yumi Nishimoto and Keita Takahashi, Cytel | Chugai

{whirl} – An Open-Source R package for Program Logs

Cervan Girard, Steven Ting and Lovemore Gakava, Cytel | Novo Nordisk

Opening Remarks - Lyn Taylor (Parexel)

Responsive Regulation of AI in Drug Development

Tala Fakhouri, FDA

Break

Harnessing CDISC’s Emerging Analysis Results Datasets Standard with the {cards} and {gtsummary} Packages

Daniel Sjoberg, Genentech

Sample Size or Power Calculations for Trial Design with Hierarchical Endpoints - an R Shiny App

Huiman Barnhart and Dylan Thibault, Duke

Optimising Team Collaboration with Shiny

Shannon Haughton, GSK

R Package Validation Framework: Docker Integration

Nicole Jones, Denali

Break

Leveraging Artificial Intelligence in R for Predicting Drug Behavior

Konstantina Koliopoulou, Univ Athens

Apply machine learning methods to retinal clinical data in R

Jin Ge, BI

Introducing WebR to TLG Catalog

Pawel Rucki, Roche

Break

Why Cant I Print This?: Adventures In Creating Interactive Safety Reports

Nate Mockler and Anuja Das, Biogen

Enhancing Late-Stage Process Development with R

Nick Kaiser, Novartis

Streamlining Data Edit Checks via Interactive Document

Adam Buss, Abbott

DuckDB and duckplyr: An in-process database management system in your R script

Gabor Szarnyas, DuckDB

Using git for a multilingual approach to trial activities

Nicolaj Thostrup, Novo Nordisk

Implementation of {teal} Shiny apps in DMC activity

Peng Zhang, CIMS global

Gearing our industry Statisticians up for Software success : A phase1b journey

Audrey Yeo, Roche

Opening Remarks - Joe Zhu (Roche)

Tala Fakhouri’s Keynote

Tala Fakhouri, FDA

Discussion of Tala Fakhouri’s Keynote

Break

Using Shiny to Clearly Present Clinical Results with CDISC-Compliant Dataset

Jonathan Carroll and Winkle Lu, HIBio | Shanghai Junshi Bioscience

Exploring Shiny for Quality Compliance Checks of Clinical Programming Deliverables

Jonathan Carroll, Sai Gayatri Vemuri and Katikala Vinodhkumar, HIBio | Novo Nordisk

Break

Transforming EDC Data into Practical Insights: The Power of a One-Click R-Shiny App

Jonathan Carroll and Keting LV, HIBio | Daiichi Sankyo

{BayesCVI} A Bayesian cluster validity index with medical applications

Frank Yang, Nathakhun Wiroonsri and Onthada Preedasawakul, CIMS Global | King Mongkut’s University of Technology Thonburi

Break

Breaking down cognitive barriers for new members to your project and your future self

Vedha Viyash and Yuichi Nakajima, Appsilon | GSK

R, Docker and Nextflow – Building the stable Data pipeline

Wei-Hung Pan and Yuichi Nakajima, Silence Therapeutics | GSK

Introducing openstatsware: Who we are and what we build together

Daniel Sabanés Bové and Yuichi Nakajima, RCONIS | GSK

Building a reproducible workflow using {targets}

Kensuke Sasaki, Masahiko Takemura and Yuichi Nakajima, Blackpanda | LPIXEL | GSK

Whats the return on investment from open sourcing?

James Black, Roche

Building living apps in Shiny for better modeling insights and outcomes

Benjamin Bucior, CSL

Opening Remarks - Rachael Dempsey (Posit)

Accelerating GSK’s Open-Source Journey with Gen AI

Christina Fillmore, GSK

Break

An arrow towards the future: a critical look at data formats for clinical reporting

Craig Gower-Page, Roche

Explore Real-World hospital Electronic Health Records data with ggehr

Chi Zhang, Univ Oslo

Teal Builder - The Fastest Way to Build Reproducible Teal Apps

Andrew McNeil and Freeman Wang, Sanofi

ramnog: R package suite for automating statistical analyses

Matthew Phelps and Christian Haargard Olsen, Novo Nordisk

Break

Building Rome in a month: How open-source technologies empower small pharma

Chendi Liao, Recursion

Roche’s first end-to-end R submission

Ning Leng, Genentech

Our R-Based Submissions: A 1-year follow-up, Lessons Learned, and Future Strategies

Ari Siggaard Knoph, Ari Siggaard Knoph and Steffen Falgreen Larsen, Novo Nordisk

Break

Piloting into the Future: Publicly Available R-based Submissions to the FDA

Ben Straub and Joel Laxamana, R/Consortium

Panel discussion on open source submissions

Opening Remarks - Smitha Ankinakatte (Syncorp Health)

Christina Fillmore’s Keynote

Christina Fillmore, GSK

Discussion of Christina Fillmore’s Keynote

Break

The use case of Copilot into open-source programming

Frank Yang and Jade Lee, CIMS Global

Creating a Doctor Network using R and Graph Databases

Frank Yang and Henri Defretin, CIMS Global | Merck

Break

How do we, statistical programmers in pharmaceutical companies, use R? - Japan Experiences Panel

The R Shiny app TNfinder for tumor-normal expression analysis

Chengcheng Liu and Jonathan Carroll, Roche | HIBio

Break

R(omeo) and Julia - A Love Story by openstatsware

Daniel Sabanés Bové and Jonathan Carroll, RCONIS | HIBio

PCA in R: A CAMIS Working Group Initiative in Pharma

Jonathan Carroll and Samrit Pramanik, HIBio | Genpact

Closing Remarks

Selected examples on how to scale-up computations in R (e.g. by using HPC)

Michael Mayer, Posit

No code data analysis with blockr

David Granjon, Karma Tarap and John Coene, Cynkra | BMS | Y Company

R Validation Hub Risk Tools Developer Day

R Validation Hub, R/Consortium