HERO-Play Button-ICON-120px-Java

LIVE WEBINAR

  • Date: 24-04-2025
  • Time: 10:00 EST / 16:00 CET
  • Location: Zoom
  • Duration: 1h

Cohort building: real-world applications from AstraZeneca & Boehringer Ingelheim

Clinical trials generate vast amounts of valuable data, including bio-samples, imaging results, and reports of adverse events. Efficiently reusing these assets can accelerate research while reducing risks and costs. However, challenges such as data fragmentation and limited access often complicate these efforts.

In this webinar, experts from AstraZeneca and Boehringer Ingelheim will discuss how they utilize the DISQOVER platform to build cohorts, enhancing the accessibility and usability of clinical trial data. Learn how DISQOVER's intuitive knowledge discovery platform allows researchers to quickly integrate, explore, and utilize clinical trial data—without requiring advanced data science expertise.

Webinar  Cohort Building – Real-World Applications from AstraZeneca & Boehringer Ingelheim  ONTOFORCE (2)

Join us to learn more about transforming clinical trial data into actionable insights!

Fill out the form to register

What you will learn

Explore the latest developments

Learn about new enhancements in DISQOVER that significantly reduce the time required to build cohorts, from months to minutes.

Gain real-world insights

Hear directly from experts at AstraZeneca and Boehringer Ingelheim about their methods for streamlining cohort building and enhancing the reuse of clinical trial data.

Engage with industry experts

Participate in a live Q&A session with speakers from AstraZeneca and Boehringer Ingelheim to discuss strategies, tackle challenges, and explore best practices.

Speakers

Ben Gardner, Solution Architect &Knowledge Management at AstraZeneca  ONTOFORCE

Ben Gardner

R&D Lead Data Mesh and Semantic Infrastructure

AstraZeneca

Karsten Quast   Data Domain Owner bei Boehringer Ingelheim ONTOFORCE

Karsten Quast

Data Domain Owner
Boehringer Ingelheim

Who should watch

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences organizations. 


  • Data scientists
  • Data managers
  • VP data and AI
  • Scientific researchers
  • Heads of research & development 
  • Director data strategy & governance
  • Bioinformaticians
  • Director data science
  • Industry leaders and decision-makers