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About Event

• Basics of Dashboards, significance in pharma and clinical trials
• Overview of Shiny dashboard tools
• Data visualization using tools
• Case studies using Shiny dashboard tool
• Automation & reproducibility, collaboration and sharing dashboards securely
• High-level AI and LLM integration using a chatbot in R Shiny
• Hands-on building mini dashboard by participants

Key Takeaways for Participants:
• Understandings of dashboards
• Practical skills to build dashboards
• Understanding of how dashboards enhance decision-making in clinical trials
• Ability to integrate statistical outputs into interactive visualizations
• Hands-on experience with real pharma/clinical trial scenarios


Intended Audience: This workshop is designed for industry professionals in the fields of biostatistics, statistical programming and data science who is having basic R programming knowledge.


Participant Prerequisites and Setup Instructions
Please complete the following setup before attending the workshop so you can participate in the hands-on R Shiny dashboard build without installation delays.

1. Software Requirements
• Install the latest stable version of R from CRAN
• Install RStudio Desktop / Posit IDE and confirm that it opens successfully
• Use a laptop with administrator rights or pre-approved permissions to install R packages
• Ensure internet access is available for package installation and downloading workshop files

2. Required R Packages
Install the following packages before the session:
• shiny — core framework for building interactive R applications
• shinydashboard — dashboard layout, sidebar, header, and body components
• tidyverse — data manipulation, preparation, and plotting support

3. Workshop Files and Data
• Download or access the workshop code folder shared by the instructor before the session
• Ensure the CDISC Pilot Study data or dummy clinical trial datasets are available locally
• https://pharmaverse.r-universe.dev/src/contrib/pharmaversesdtm_1.5.0.9001.tar.gz
• install.packages('pharmaversesdtm', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))
• Keep all files in a single project folder to avoid path-related issues during hands-on exercises

Event Date

12th Sept 2026, 10:00 AM to 6:00 PM

Event Location

Deccan Serai Hotel, Hitech City, Hyderabad

Facilitators

Agenda

-- Coming Soon --

# Time Brief Description of Topic Presenters
Attendees are advised to join webinar at 09:30 AM
1 10:00 – 10:15 Introduction of IASCT and Speakers,
Welcome note 		IASCT EC member
2 10:15 – 11:00 Session 1: Foundations of Interactive Dashboards and Effective Visualization in Clinical Trials
  • ● What are dashboards and why they matter in pharma/clinical trials
  • ● Role of different Dashboards in smarter insights, study monitoring, operational insights, and clinical/statistical decision-making
  • ● Translating clinical trial data and statistical outputs into clear, compliant, and user-friendly visualizations
  • ● Introduction to R Shiny
 Speaker(s)
4 11:00 – 11:15 Q&A ALL
5 11:15 – 11:30 Break ALL
6 11:30 – 12:45 Session 2: R Shiny Environment Setup and Dashboard Building Blocks using used cases
  • ● Setting up the R Shiny development environment
  • ● Key UI, server, reactivity, and module concepts
  • ● Building blocks for clinical trial dashboard workflows
  • ● Step by step guidance on building a dashboard framework
  • ● Run through used cases
 Speaker(s)
7 12:45 – 01:00 Q&A ALL
8 01:00 – 02:00 Lunch Break ALL
9 02:00 – 03:45 Session 3: Hands-on Dashboard Building using RShiny
  • ● Hands-on walkthrough for creating a mini-Shiny dashboard based on a clinical trial scenario
  • ● Hands-on development of a mini TFL builder
  • ● Adding interactivity for reviewing and exploring outputs
 Speaker(s)
10 03:45 – 04:00 Q&A ALL
11 04:00 – 04:15 Break ALL
12 04:15 – 05:15 Session 4: Automation using high level AI/ML
  • ● High-level AI and LLM integration patterns for R Shiny applications
  • ● Using a chatbot interface in R Shiny
  • ● Illustrative use case with the mini TFL app
  • ● Automation and reproducibility considerations for dashboard
 Speaker(s)
13 05:15 – 05:30 Q&A ALL
14 05:30 – 06:00 Closing Session: Workshop Summary and Concluding Remarks IASCT EC member

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The workshop provides an opportunity to receive feedback on your scientific communication, with an optional pre-requisite to submit an abstract.


Note: While submitting abstract in word format please add below information. The abstract submission deadline is February 7, 2024.

1.Name

2.Organisation/ Institute

3.Email

4.150-words (max) abstract


Note*: The Event Fee is ₹2,500 + GST

Please contact Jagannatha P.S or Anurag Srivastav for any queries related to registration.

By registering for this conference, you agree to become a member of IASCT and receive emails from IASCT on your registered email ID. If you don’t want to accept membership, please check the box above. Please note that this membership has no additional cost involved.

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