90: Swarm Learning: The Future of AI Collaboration in Digital Pathology w/ Oliver Saldanha
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Swarm Learning in Digital Pathology: Revolutionizing Cancer Histopathology Today on the Digital Pathology Podcast  my guest is Oliver Saldana, the first author of a significant Nature Medicine paper published in 2022 on 'Swarm Learning for Decentralized Artificial Intelligence in Cancer Histopathology'. Oliver shares his journey from Mangalore, India, to Germany, where he pursued his master's and PhD, delving into histopathology and decentralized AI under the supervision of Professor Dr. Jakob Nicolas Kather. The discussion explores the concept of swarm learning as a novel method for deep learning in histopathology, its advantages over centralized learning including compliance with data protection laws like GDPR, and its potential for global collaboration in medical research without sharing sensitive data. Oliver emphasizes swarm learning’s ease of setup and its alignment with the FAIR principles for scientific data management. The podcast aims to shed light on the groundbreaking work being done in the convergence of pathology and computer science, urging researchers and pathology centers to digitize their slides and contribute to global swarm learning projects.00:00 Introduction to Swarm Learning and Its Applications00:50 Intro01:17 Meet Oliver Saldana: A Trailblazer in Decentralized AI for Cancer Histopathology03:57 Exploring the Concept of Decentralized AI and Its Importance06:52 Understanding Centralized vs. Decentralized Learning08:47 The Revolutionary Approach of Swarm Learning10:38 Blockchain's Role in Enhancing Histopathology with Swarm Learning14:50 Addressing Preprocessing and Generalizability in Swarm Learning21:26 Swarm Learning's Compliance with GDPR and Data Protection25:05 Exploring Swarm Learning in Medical Data Analysis25:34 Prototype Study and Real Cohorts in Swarm Learning27:01 Comparing Swarm Learning with Centralized Models27:44 The Role of Bare Metal Servers in Swarm Learning30:01 Centralized Slide Repositories vs. Swarm Learning44:11 Commercializing Swarm Learning Models47:07 FAIR Principles and Swarm Learning51:11 Global Ambitions and the Future of Swarm LearningTHIS EPISODES RESOURCES📝 Swarm Learning for decentralized and confidential clinical machine learning🔗 https://www.nature.com/articles/s41586-021-03583-3📝The FAIR Guiding Principles for scientific data management and stewardship🔗https://www.nature.com/articles/sdata201618🎧BIGPICTURE – THE LARGEST WHOLE SLIDE REPOSITORY FOR AI MODEL DEVELOPMENT IN PATHOLOGY. WHERE DO WE STAND AT MONTH 15/72?🔗https://digitalpathologyplace.com/podcast/bigpicture-the-largest-whole-slide-repository-for-ai-model-development-in-pathology-where-do-we-stand-at-month-15-72/

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