The Effective Statistician - in association with PSI

Taming AI for Biostatistics: Darko Medin on Bio AI Works & Reliable AI Models


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Interview with Darko Medin
Key Points:
  • AI Challenges: Hallucinations, Accuracy, Reliability
  • AI Solutions: Validation, Cross-checking, Domain-specific rules
  • Use Cases: Oncology, Precision Medicine, Drug Discovery
  • High-dimensional Data: Hidden patterns, Complex datasets
  • AI Agents: Semi-autonomous, Goal-driven, Multi-step processes
  • Interpretability vs. Explainability: Statistical rigor, Scientific validation
  • Future of AI: Scaling, Faster iteration, Reliable outputs
  • Artificial intelligence is rapidly transforming biostatistics, but ensuring its accuracy and reliability remains a critical challenge. In this episode, Darko Medin shares valuable insights into how Bio AI Works is tackling these issues, from reducing hallucinations in large language models to uncovering hidden patterns in complex datasets.

    If you’re interested in how AI can enhance statistical rigor and drive innovation in fields like oncology and precision medicine, you won’t want to miss this conversation.

    Tune in now, and if you found this episode insightful, share it with your friends and colleagues who would benefit from learning about AI’s role in biostatistics!

    I’m thrilled to share that my book, “How to Be an Effective Statistician – Volume 1”, is now available! 

    It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.

    Check out the testimonials and grab your copy!

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    The Effective Statistician - in association with PSIBy Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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