Uploaded July 2025 | Updated September 2026, 2 weeks ago
#ShinyConf #ShinyConf2025
This is a talk from ShinyConf 2025: shinyconf.com
Abstract: The pharmaceutical industry stands at a crossroads of data complexity, innovative tools, and decision-making speed. In recent years, R and Shiny has become one of the key players in clinical analysis, though full transformation remains challenging. The gap between data collection and actionable insights often spans months, delaying critical decisions and extending time-to-market. This talk demonstrates how pharma organizations can leverage R and Shiny to build a connected ecosystem that transforms siloed, months-long cycles into collaborative, near real-time frameworks that directly improve trial outcomes. Through clinical and operational examples, I'll showcase how R packages, modular Shiny applications, and integration patterns can create a scalable framework for clinical data science. Join me to discover how combining R's analytical power with Shiny's interactivity can transform the way pharmaceutical companies connect data to decisions, with measurable outcomes that resonate with both technical practitioners and business decision-makers.
____________________________
Want to explore more sessions?
Sign up for replay access: events.ringcentral.com/events/shinyconf-2025
#ShinyConf #ShinyConf2025
This is a talk from ShinyConf 2025: shinyconf.com
Abstract: The pharmaceutical industry stands at a crossroads of data complexity, innovative tools, and decision-making speed. In recent years, R and Shiny has become one of the key players in clinical analysis, though full transformation remains challenging. The gap between data collection and actionable insights often spans months, delaying critical decisions and extending time-to-market. This talk demonstrates how pharma organizations can leverage R and Shiny to build a connected ecosystem that transforms siloed, months-long cycles into collaborative, near real-time frameworks that directly improve trial outcomes. Through clinical and operational examples, I'll showcase how R packages, modular Shiny applications, and integration patterns can create a scalable framework for clinical data science. Join me to discover how combining R's analytical power with Shiny's interactivity can transform the way pharmaceutical companies connect data to decisions, with measurable outcomes that resonate with both technical practitioners and business decision-makers.
____________________________
Want to explore more sessions?
Sign up for replay access: events.ringcentral.com/events/shinyconf-2025










