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102: DigiPath Digest #10 (From HER2 Low to Gleason Grading: AI in Digital Pathology Research)
Manage episode 437106771 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.
Welcome to the 10th edition of the DigiPath Digest. Today, we discuss essential updates including the free availability of my 'Digital Pathology 101' book and the podcast now accessible on YouTube and YouTube Music. We dive deep into the weekly abstract, focusing on advancements such as sex-specific histopathological models for gliomas, leukocyte identification tools, and automated Gleason grading for prostate cancer. We also explore the potential of SciSpace, an AI tool for interacting with scientific papers. Interspersed with live interaction, we discuss the importance of consistency in histopathological grading and the challenges faced by pathologists. J
00:00 Introduction and Announcements
00:55 Live Interaction and Updates
05:01 Abstract Review: High-Grade Gliomas
11:45 Abstract Review: Leukocyte Identification Tool
13:24 Abstract Review: Gleason Grading in Prostate Cancer
16:31 Abstract Review: HER2 Low Prediction in Breast Cancer
24:01 Event Announcements and Closing Remarks
THIS EPISODES RESOURCES:
📰 Sexually dimorphic computational histopathological signatures prognostic of overall survival in high-grade gliomas via deep learning
🔗https://pubmed.ncbi.nlm.nih.gov/39178259/
📰 A Digital Tool Supporting Pathology Practice and Identifying Leucocytes
🔗https://pubmed.ncbi.nlm.nih.gov/39176939/
📰 Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
🔗https://pubmed.ncbi.nlm.nih.gov/39176576/
📰 Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides
🔗https://pubmed.ncbi.nlm.nih.gov/39160593/
▶️ YouTube Version of this Episode:
🔗 https://www.youtube.com/live/06QXmwojxDE?si=q59PjGkHbXCUFhwI
📕 Digital Pathology 101 E-book
🔗https://digitalpathology.club/digital-pathology-beginners-guide-notification
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