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Contenido proporcionado por Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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101: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it

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Manage episode 436684661 series 3404634
Contenido proporcionado por Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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Today my guest is Danielle Brown, a fellow veterinary pathologist, the General Manager at Charles River Laboratories Reno, Nevada, and a pioneer in the use of image analysis for toxicologic pathology. Together, we explored the ever-evolving role of image analysis in preclinical studies and how it enhances, rather than replaces, the expertise of pathologists.

This conversation is a deep dive into the intersection of pathology and technology, showcasing how image analysis is revolutionizing preclinical research. We also discuss the future of this technology and its implications for the industry.

Join us as we navigate the intricacies of image analysis, share insights on the collaborative process between pathologists and image analysis scientists, and look ahead to the exciting advancements on the horizon.

Key Discussion Points:

  • [00:00:00] Introduction and Guest Welcome:
    • Introducing Danielle Brown and her significant contributions to the field of toxicologic pathology.
  • [00:02:46] The Role of Image Analysis in Preclinical Drug Development:
    • Why image analysis is crucial for accurate and efficient evaluations in preclinical studies.
  • [00:03:23] Challenges and Limitations of Visual Analysis:
    • Discussing the limitations of visual analysis and how image analysis overcomes these challenges.
  • [00:08:06] Pathologist and Image Analysis Collaboration:
    • The importance of collaboration between pathologists and image analysis scientists to ensure accurate data interpretation.
  • [00:13:00] Efficiency and Cost of Image Analysis vs. Pathologist Scoring:
    • Comparing the efficiency, cost, and consistency between image analysis and traditional pathologist scoring methods.
  • [00:15:18] Validation and Qualification of Image Analysis Algorithms:
    • The process of validating image analysis algorithms to ensure they meet regulatory standards in a GLP environment.
  • [00:19:54] GLP Compliance and Regulatory Considerations:
    • How Charles River ensures GLP compliance in their image analysis processes, making them suitable for regulatory submissions.
  • [00:23:27] Method Development for Specific Stains and Techniques:
    • Approaching projects that require new method development or specialized procedures.
  • [00:27:46] Future of Image Analysis in Pathology:
    • Danielle’s insights into the future of image analysis and how emerging technologies will shape the field.

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 image analysis to increase evaluation efficiency and the granularity of your data.

THIS EPISODE'S RESOURCES:
📄 The paper Aleks and Danielle co-authored: "Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology"

📄 Learn more about GLP-compliant tissue image analysis at Charles River Laboratories.

▶️ Watch the full episode here: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it.

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

112 episodios

Artwork
iconCompartir
 
Manage episode 436684661 series 3404634
Contenido proporcionado por Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Send us a text

Today my guest is Danielle Brown, a fellow veterinary pathologist, the General Manager at Charles River Laboratories Reno, Nevada, and a pioneer in the use of image analysis for toxicologic pathology. Together, we explored the ever-evolving role of image analysis in preclinical studies and how it enhances, rather than replaces, the expertise of pathologists.

This conversation is a deep dive into the intersection of pathology and technology, showcasing how image analysis is revolutionizing preclinical research. We also discuss the future of this technology and its implications for the industry.

Join us as we navigate the intricacies of image analysis, share insights on the collaborative process between pathologists and image analysis scientists, and look ahead to the exciting advancements on the horizon.

Key Discussion Points:

  • [00:00:00] Introduction and Guest Welcome:
    • Introducing Danielle Brown and her significant contributions to the field of toxicologic pathology.
  • [00:02:46] The Role of Image Analysis in Preclinical Drug Development:
    • Why image analysis is crucial for accurate and efficient evaluations in preclinical studies.
  • [00:03:23] Challenges and Limitations of Visual Analysis:
    • Discussing the limitations of visual analysis and how image analysis overcomes these challenges.
  • [00:08:06] Pathologist and Image Analysis Collaboration:
    • The importance of collaboration between pathologists and image analysis scientists to ensure accurate data interpretation.
  • [00:13:00] Efficiency and Cost of Image Analysis vs. Pathologist Scoring:
    • Comparing the efficiency, cost, and consistency between image analysis and traditional pathologist scoring methods.
  • [00:15:18] Validation and Qualification of Image Analysis Algorithms:
    • The process of validating image analysis algorithms to ensure they meet regulatory standards in a GLP environment.
  • [00:19:54] GLP Compliance and Regulatory Considerations:
    • How Charles River ensures GLP compliance in their image analysis processes, making them suitable for regulatory submissions.
  • [00:23:27] Method Development for Specific Stains and Techniques:
    • Approaching projects that require new method development or specialized procedures.
  • [00:27:46] Future of Image Analysis in Pathology:
    • Danielle’s insights into the future of image analysis and how emerging technologies will shape the field.

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 image analysis to increase evaluation efficiency and the granularity of your data.

THIS EPISODE'S RESOURCES:
📄 The paper Aleks and Danielle co-authored: "Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology"

📄 Learn more about GLP-compliant tissue image analysis at Charles River Laboratories.

▶️ Watch the full episode here: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it.

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

112 episodios

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