#004 Technology Transformation in Clinical Trial Analysis

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🤖🧬 Where Technology Meets Science

Appsilon

15 episodes

5 months ago

Where Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.

Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.

The podcast is brought to you by Appsilon.

Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments

All content for 🤖🧬 Where Technology Meets Science is the property of Appsilon and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

#004 Technology Transformation in Clinical Trial Analysis

🤖🧬 Where Technology Meets Science

40 minutes

8 months ago

#004 Technology Transformation in Clinical Trial Analysis

#datascience #dataanalysis #technology #clinicaltrials #opensource #rshiny #techtransformation

The opinions shared here do not represent the official position of Roche or Novartis.

We explore why clinical trials lag behind in innovation—even as the research side of drug development makes massive leaps. We’ll uncover why attracting top talent is critical to driving the industry forward, particularly in adopting open-source technologies. Dive into tools like R, test automation frameworks, and data abstractions, and learn how they’re reshaping tech transformation in clinical trials. Joining us are Novartis experts Orla Doyle and James Black to unpack the challenges and opportunities ahead.

In this episode, you will learn:
Why R and open-source tools are dethroning outdated proprietary systems
How modern tools attract new talent and retain seasoned experts
The persistent inefficiency puzzle in clinical data analysis
Decentralized trials: balancing accessibility with data integrity
Building regulatory trust in open-source and agile workflows
AI’s future in trials, decentralized models, and global standards

Orla Doyle
► https://www.linkedin.com/in/orla-doyle-53a5019a/
James Black
► https://www.linkedin.com/in/epijim/
Nat Chrzanowska
https://www.linkedin.com/in/nat-chrzanowska/
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More about Appsilon:
► https://www.appsilon.com/
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
► https://www.appsilon.com/contact-us
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For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
► http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/