98: DigiPath Digest #6 (Foundation models high level overview)
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 Exploring Foundation Models in Digital Pathology: Insights and ToolsIn 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 Overview00:16 Foundation Models in Pathology00:33 Comparing Research Tools01:03 Live Stream Interaction01:12 Starting the Podcast04:51 Foundation Models Explained05:11 Research and Findings06:34 Children's Book on AI08:00 Deep Dive into Foundation Models14:28 Case Studies and Examples18:18 Discussion on Data and Models21:00 Final Thoughts and Questions26:24 Exploring ToxPath and Foundation Models27:05 Introduction to Image Repositories28:36 Using PubMed for Research30:35 Exploring Undermined Tool35:42 Comparing PubMed and Undermined41:00 Final Thoughts and RecommendationsTODAY'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 researc)h)

📕 A book we discussed :)

• **"ABC of Artificial Intelligence. Baby University" **)

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