The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Role of AI in Clinical Development

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Key points:

  • AI in Clinical Research: Exploring the impact of artificial intelligence on clinical research and development.
  • Francois’ Experience: Insights from Francois, a seasoned expert with nearly 30 years in the pharmaceutical industry.
  • Transition to AI: Francois’ journey from traditional statistical methods to AI and machine learning applications.
  • Digital Twins: Discussion on the role of AI in creating digital twins for predicting patient outcomes.
  • Data Integration: How AI facilitates the integration of structured and unstructured data in clinical studies.
  • Statisticians and AI: The potential for statisticians to leverage AI to drive innovation in healthcare.
  • Future Opportunities: The growing importance of AI in shaping the future of clinical research.
  • AI as a Trend: Understanding why AI is more than just a passing trend in the industry.

AI transforms clinical development and offers immense potential, especially for statisticians aiming to make a significant impact in healthcare. Francois shares valuable insights on how AI enhances our work and shapes the future of clinical research.

If these possibilities excite you, listen to this episode. Share it with your colleagues and anyone interested in the convergence of AI and clinical research. Let’s spread the word and inspire others to explore how AI can revolutionize our field.


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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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