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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.

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In this episode, we celebrate the 100th edition of the Digital Pathology Podcast!
Thank you so much for being part of this journey!
You are my Digital Pathology Trailblazers and I prepared a Digital Pathology Trailblazer manifesto for us!

This is the 9th edition of DigiPath Digest, and we are attracting more and more people to this series.

I am also working on a new YouTube digital pathology course and am offering the first 100 enrollments for free in exchange for feedback.

During today's episode, we cover several papers including research on AI for predicting post-operative liver metastasis, validation of AI-based breast cancer risk stratification models, AI applications in clinical microbiology, advances in parasitology diagnostics, AI for retinal assessment, and AI models for detecting microsatellite instability in colorectal cancer.

We also unveil a Digital Pathology Trailblazer manifesto emphasizing the ethos and dedication of the community.

Join us to stay current with literature, advancements, and insights from the fascinating world of digital pathology.

00:00 Introduction and Announcements
00:25 Live Podcast Proposal
01:40 Welcome and Audience Interaction
03:05 Updates and Apologies
06:11 YouTube Course Announcement
07:23 Technical Difficulties and Solutions
10:00 Digital Pathology Club and Vendor Sessions
11:28 First Research Paper Discussion
17:38 Second Research Paper Discussion
20:07 ER Positive and HER2 Negative Patient Subgroup Analysis
20:59 Independent Prognostic Value of StratiPath Breast Solution
21:59 Challenges and Benefits of Image-Based Stratification
22:58 Technical Difficulties and Live Stream Interaction
24:22 Introduction to Paper Number Three: AI in Clinical Microbiology
28:07 AI in Parasitology Screening and Diagnosis
29:30 Physics-Informed AI for Retinal Assessment
33:08 AI for Microsatellite Instability Detection in Colorectal Cancer
36:42 YouTube Course Announcement and Digital Pathology Trailblazer Manifesto
42:25 Celebrating the 100th Episode of the Digital Pathology Podcast

THE ABSTRACTS WE COVERED TODAY

📄 A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors: integrating computational pathology and deep learning-radiomics.
https://pubmed.ncbi.nlm.nih.gov/39143624/

📄 Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images
https://pubmed.ncbi.nlm.nih.gov/39143539/

📄 Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis
https://pubmed.ncbi.nlm.nih.gov/39136261/

📄No longer stuck in the past: new advances in artificial intelligence and molecular assays for parasitology screening and diagnosis
https://pubmed.ncbi.nlm.nih.gov/39133581/

📄Physics-informed deep generative learning for quantitative assessment of the retina
https://pubmed.ncbi.nlm.nih.gov/39127778/

📄Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer
https://pubmed.ncbi.nlm.nih.gov/39125481/

▶️ YouTube Version of this Episode
https://www.youtube.com/live/Uwca5rzAtEA?si=Rd8r4LVM1utEKWdt

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In this episode of DigiPath Digest, broadcasting from Poland, we delve into advances in digital pathology, including AI applications in bone marrow evaluation, classification of hematology cells, and the use of synthetic images for data augmentation. Additionally, we review a survey on pathologists' perceptions of ChatGPT and consider the feasibility of GANs for enhancing medical image analysis.

00:00 Welcome and Troubleshooting from Poland
00:21 Live Stream Challenges and Conference Details
02:21 Digital Pathology Podcast Introduction
02:51 Technical Difficulties and Audience Interaction
06:18 Exploring Digital Pathology Papers
06:43 Advances in Bone Marrow Evaluation
09:03 AI in Hematology and Pathology
12:28 Colorectal Cancer Prognostication
19:34 Pan-Cancer Xenograft Repository
25:16 ChatGPT and Pathology Survey
30:55 Synthetic Image Generation in Pathology
36:35 Upcoming Conferences and Courses
42:27 Closing Remarks and Future Plans

THE ABSTRACTS WE COVERED TODAY

📄 Advances in Bone Marrow Evaluation
https://pubmed.ncbi.nlm.nih.gov/39089749/

📄 Digital Imaging and AI Pre-classification in Hematology
https://pubmed.ncbi.nlm.nih.gov/39089746/

📄 Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trial
https://pubmed.ncbi.nlm.nih.gov/39083705/

📄 A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
A survey analysis of the adoption of large language models among pathologists
https://pubmed.ncbi.nlm.nih.gov/39082680/

📄 Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer

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Exploring Foundation Models in Digital Pathology: Insights and Tools

In today's DigiPath Digest we talk about the foundation models in pathology.
reviewing abstracts from two notable papers in Nature.

We discuss the high-level overview of these models, including Hamid Tizhoosh's insights on the vast data requirements for developing effective foundational models.

We also explore tools for literature research, comparing PubMed and Undermind.ai, and examine a useful children's book on artificial intelligence :)

The episode features audience interaction and offers updates on digital pathology trends, along with a personal anecdote on the nature of comparison based on a yoga class experience.

00:00 Introduction and Overview
00:16 Foundation Models in Pathology
00:33 Comparing Research Tools
01:03 Live Stream Interaction
01:12 Starting the Podcast
04:51 Foundation Models Explained
05:11 Research and Findings
06:34 Children's Book on AI
08:00 Deep Dive into Foundation Models
14:28 Case Studies and Examples
18:18 Discussion on Data and Models
21:00 Final Thoughts and Questions
26:24 Exploring ToxPath and Foundation Models
27:05 Introduction to Image Repositories
28:36 Using PubMed for Research
30:35 Exploring Undermined Tool
35:42 Comparing PubMed and Undermined
41:00 Final Thoughts and Recommendations


TODAY'S ABSTRACTS & RESOURCES

📄 Here are the abstracts reviewed today:

• A visual-language foundation model for computational pathology
• A foundation model for clinical-grade computational pathology and rare cancers detection

▶️ Hamid Tizhoosh's lecture:

• "Foundation Models and Information retrieval in Pathology"

🔧 The tool we tried today

• Undermind (for literature research)

📕 A book we discussed :)

• "ABC of Artificial Intelligence. Baby University"

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DigiPath Digest #5 is ready as audio!

We explore how AI and image datasets can accelerate medical education for both radiology and pathology.

I review comparisons between the GPT-4 vision model and convolutional neural networks for neuropathological changes in the brain.

We explore how AI can potentially reduce healthcare costs, particularly in cancer risk discrimination.

Additionally, there's a focus on AI applications in digital urine cytology for bladder cancer diagnosis.

I also share personal updates, upcoming podcast guests, and my plans for utilizing YouTube content to create an educational course.

The episode wraps up with a lively discussion on integrating AI in clinical workflows and prioritizing patient care.

TIMESTAMPS:

00:00 Introduction and Podcast Updates

03:41 Guest Highlights and Personal Updates

06:33 Digital Self-Learning in Radiology

12:14 AI in Breast Cancer Risk Assessment

18:36 Comparing GPT-4 Vision and CNN in Neuropathology

21:58 Challenges in Lesion Identification

22:59 Few-Shot Learning in Neuropathology

24:42 AI in Bladder Cancer Diagnosis

29:48 Innovations in Digital Pathology

38:48 AI-Powered Clinical Workflows

44:42 Conclusion and Future Directions

TODAY'S ABSTRACTS & RESOURCES:

• Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance

• U.S. payer budget impact of using an AI-augmented cancer risk discrimination digital histopathology platform to identify high-risk of recurrence in women with early-stage invasive breast cancer

• Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model

• Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis

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How can you work remotely as a doctor? Clearly some specialties, give more possibilities to do that than others and pathology is one of them.

In this episode, I talk to Dr. Todd Randolph, a pathologist living the remote pathologist lifestyle.

Dr. Randolph shares his journey into digital pathology, including his background, the evolution of his practice, and the transition to remote work.

We discuss the benefits and challenges of digital pathology, including the importance of pathology and business experience, as well as insights into AI in pathology.

Dr. Randolph also provides advice for those looking to pursue a career in digital pathology and emphasizes the importance of taking initiative and staying informed about the field.

TIMESTAMPS

00:00 Introduction to the Guest: Dr. Todd Randolph

01:05 Todd's Pathology Journey

02:04 Specialization in Pathology

03:55 Transition to Digital Pathology

05:01 Working with Lumea

11:44 Daily Life as a Remote Pathologist

13:36 Challenges and Benefits of Digital Pathology

20:37 Starting a Career in Digital Pathology

24:45 Early Days of Digital Pathology

26:17 Challenges in Digital Pathology Systems

27:46 Exploring Different Digital Pathology Systems

29:03 Impact of Digital Pathology on Work-Life Balance

32:50 Advice for Aspiring Digital Pathologists

41:11 The Role of AI in Digital Pathology

50:40 Regulatory Considerations for AI Tools

54:11 Final Thoughts and Encouragement

THIS EPISODE’S RESOURCES

• Dr. Todd Randolph on LinkedIn
• Lumea’s website
• Digital Diagnostics Summit Registration Link

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The third episode of DigiPath Digest just took place live, but I have an audio version for the listeners.

DigiPath Digest is a review of digital pathology and IA publications abstract review that I host weekly as a live stream (on YouTube, LinkedIn, Facebook etc.)

Here is the video version if you learn more visually

Today the abstracts we discussed centered around innovations in disease detection and prognosis powered by digital pathology and AI.

TIMESTAMPS:

00:00 Welcome and Introduction

00:35 DigiPath Digest Overview

01:14 Engaging with the Audience

06:09 Abstract Review: AI in Liver Fibrosis

11:21 Abstract Review: AI in Prostate Cancer

16:43 Abstract Review: AI in Glioblastoma

23:02 Abstract Review: AI in Red Blood Cell Analysis

28:38 Upcoming Events and Announcements

34:18 Closing Remarks and Future Episodes

TODAY'S ABSTRACTS & RESOURCES:

• AI-based digital pathology provides newer insightsinto lifestyle intervention-induced fibrosisregression in MASLD: An exploratory study

• Artificial intelligence for detection of prostate cancer
  in biopsies during active surveillance

• Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images

• 1 Million Segmented Red Blood Cells With 240 K Classified in 9 Shapes and 47 K Patches of 25 Manual Blood Smears

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This episode was originally recorded for "People of Pathology Podcast" and I had the pleasure of being interviewed by Dennis Strenk after I have published my book "Digital Pathology 101 - All you need to know to start and continue your digital pathology journey". This was my third appearance on his show, so I was really honored!

Our talk about digital pathology focused on the cultural shift and learning mentality essential for embracing rapid advancements in the field.

We highlighted the importance of open-mindedness, interdisciplinary collaboration, and the practical applications of AI to enhance diagnostic and workflow processes.

I also shared insights from my book, "Digital Pathology 101," which Dennis called "a comprehensive resource for beginners and experts". We covered key topics such as regulatory milestones, interoperability, and the role of toxicologic pathology.

CHAPTERS

• earning Mentality (00:00): Exploring the mindset required for adapting to new technologies in digital pathology.
• Welcome to the Digital Pathology Podcast (00:53)
• The Journey of Writing Digital Pathology 101 (02:03): Sharing the process and inspiration behind writing the book.
• Balancing Content for Different Readers (05:29): How to make the book accessible and valuable for newcomers and seasoned professionals.
• Digital Pathology Milestones and Surprises (10:27): Highlighting significant achievements and unexpected developments in the field.
• Interoperability in Digital Pathology (15:19): The importance of systems working together seamlessly.
• Collaborating with Vendors (17:29): The benefits and challenges of working with technology providers.
• The Cultural Shift in Digital Pathology (21:47): Emphasizing the need for a cultural change within the pathology community to embrace digital tools fully.
• AI in Pathology: Narrow vs. General AI (27:17): Differentiating between specific AI applications and broader AI capabilities.
• Companion Diagnostics and Personalized Medicine (35:34): The role of digital pathology in advancing personalized medicine.
• The Role of Toxicologic Pathology (38:49): Discussing the role of toxicologic pathology in the digital age.
• Conclusion and Final Thoughts (42:37): Wrapping up the discussion with reflections and future outlooks.

It was great to be Dennis' guest instead of the host this time, and be able to talk about digital pathology and the book to his audience. I liked this episode a lot and I hope you will to.

To learn digital pathology fast, be sure to check out my book "Digital Pathology 101." You can get your copy here: Digital Pathology 101 E-book.

Watch the full episode here

THIS EPISODE'S RESOURCES

The original audio version of Dennis' podcast is here:
🎧

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