In this episode of the Digital Pathology Podcast, I sit down with Danielle Brown, the General Manager at Charles River Laboratories and an expert in toxicologic pathology. Danielle and I explore the evolving role of image analysis in preclinical studies, diving into how this technology enhances—rather than replaces—the expertise of pathologists.
We discuss the challenges and benefits of integrating image analysis into preclinical research, particularly in a GLP-compliant environment, and the importance of collaboration between pathologists and image analysis scientists.
Key topics we cover include the:
- The limitations of visual analysis,
- The efficiency and consistency of image analysis compared to traditional methods, and
- The future of AI-driven pathology.
Danielle also shares insights from her extensive experience in managing image analysis teams and how Charles River Laboratories ensures regulatory compliance in their processes.
This episode is packed with valuable insights and practical advice for anyone involved in preclinical research or interested in the integration of image analysis in pathology. Danielle’s expertise and our discussion provide a roadmap for leveraging technology to improve diagnostic accuracy and efficiency.
The Episodes Resources
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