1.2 Thursday

This is the shortened schedule, please go to the Full Schedule for more detailed information.

  • 07:30 - 09:15 Registration
  • 08:00 - 09:00 Interactive data visualization with R, plotly, and dashR (Workshop)
  • 08:00 - 09:00 The Challenges of Validating R (Workshop)
  • 08:00 - 09:00 The largest Shiny application in the world. Roche.Diagnostics.bioWARP (Workshop)
  • 09:15 - 09:25 Opening Remarks
  • 09:25 - 10:10 Using interactivity responsibly in pharma https://speakerdeck.com/jcheng5/using-shiny-responsibly-in-pharma
  • 10:10 - 10:30 Interactive data visualization with R, plotly, and dashR
  • 10:30 - 10:50 Developing powerful Shiny applications in an enterprise environment: Best practices and lessons learned http://rpodcast.gitlab.io/rpharma2018/#1
  • 10:50 - 11:10 Break
  • 11:10 - 11:30 NetTCR: Towards Accurate Prediction of T-cell Targets using Deep Learning
  • 11:30 - 11:50 Analyzing Clinical Trials Data with R
  • 11:50 - 12:15 Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment
  • 12:10 - 13:30 Lunch
  • 13:30 - 13:40 Unification in a Compartmentalized Culture
  • 13:40 - 13:50 R4SPA: R Packages and Training to enable Statistical Programming in R https://kieranjmartin.github.io/R4SPA-talk/r4spa.html#1
  • 13:50 - 14:00 Assisting pharmacometric simulation with the use of Shiny
  • 14:00 - 14:10 _R/Shiny Clinical Dashboards For Fun* and Profit *Note: Fun is Relative_
  • 14:10 - 14:20 The drake R package: reproducible data analysis at scale https://wlandau.github.io/drake-talk/#/
  • 14:20 - 14:50 Break
  • 14:50 - 15:35 Enabling open-source analytics in the enterprise
  • 15:35 - 15:45 The role of R in converting clinical trial programmers to data scientists https://phcanalytics.github.io/slides/aboutus/RinPharma2018/#/
  • 15:45 - 15:55 Accelerate Personalized Health Care by Empowering Biomarker Data
  • 15:55 - 16:05 Keeping things Peachy when Shiny gets Hairy
  • 16:05 - 16:15 Shiny Apps in Genomics and Clinical Trials https://jminnier-talks.netlify.com/2018_08_rpharma_shiny/minnier_rpharma2018.html#1
  • 16:15 - 16:25 R as the Core Technology to Support Modeling and Simulation in Pharma Research, Development, and Post Approval Activities
  • 16:25 - 16:35 Building a community of competent developers and users of R-based tools in mass spectrometry-based research
  • 16:35 - 16:45 Bayesian Models for Smaller Trial Sizes
  • 16:45 - 16:55 Enhance R Overview
  • 16:55 - 17:05 The Magic R-Shiny App that can Boost your SDTM Usability and Viability while Saving Time
  • 17:05 - 17:15 Reproducible computational research at Eisai: leadership, technology, and culture
  • 17:15 - 17:25 The Challenges of Validating R
  • 18:00 - 20:00 Informal drinks (not formally organised)