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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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Swarm Learning: The Future of AI Collaboration in Digital Pathology w/ Oliver Saldanha

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Manage episode 413437381 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.

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 Applications
00:50 Intro
01:17 Meet Oliver Saldana: A Trailblazer in Decentralized AI for Cancer Histopathology
03:57 Exploring the Concept of Decentralized AI and Its Importance
06:52 Understanding Centralized vs. Decentralized Learning
08:47 The Revolutionary Approach of Swarm Learning
10:38 Blockchain's Role in Enhancing Histopathology with Swarm Learning
14:50 Addressing Preprocessing and Generalizability in Swarm Learning
21:26 Swarm Learning's Compliance with GDPR and Data Protection
25:05 Exploring Swarm Learning in Medical Data Analysis
25:34 Prototype Study and Real Cohorts in Swarm Learning
27:01 Comparing Swarm Learning with Centralized Models
27:44 The Role of Bare Metal Servers in Swarm Learning
30:01 Centralized Slide Repositories vs. Swarm Learning
44:11 Commercializing Swarm Learning Models
47:07 FAIR Principles and Swarm Learning
51:11 Global Ambitions and the Future of Swarm Learning
THIS 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/

Support the Show.

Become a Digital Pathology Trailblazer and See you inside the club: Digital Pathology Club Membership

  continue reading

91 episodios

Artwork
iconCompartir
 
Manage episode 413437381 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.

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 Applications
00:50 Intro
01:17 Meet Oliver Saldana: A Trailblazer in Decentralized AI for Cancer Histopathology
03:57 Exploring the Concept of Decentralized AI and Its Importance
06:52 Understanding Centralized vs. Decentralized Learning
08:47 The Revolutionary Approach of Swarm Learning
10:38 Blockchain's Role in Enhancing Histopathology with Swarm Learning
14:50 Addressing Preprocessing and Generalizability in Swarm Learning
21:26 Swarm Learning's Compliance with GDPR and Data Protection
25:05 Exploring Swarm Learning in Medical Data Analysis
25:34 Prototype Study and Real Cohorts in Swarm Learning
27:01 Comparing Swarm Learning with Centralized Models
27:44 The Role of Bare Metal Servers in Swarm Learning
30:01 Centralized Slide Repositories vs. Swarm Learning
44:11 Commercializing Swarm Learning Models
47:07 FAIR Principles and Swarm Learning
51:11 Global Ambitions and the Future of Swarm Learning
THIS 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/

Support the Show.

Become a Digital Pathology Trailblazer and See you inside the club: Digital Pathology Club Membership

  continue reading

91 episodios

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