Artwork

Contenuto fornito da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

102: DigiPath Digest #10 (From HER2 Low to Gleason Grading: AI in Digital Pathology Research)

28:42
 
Condividi
 

Manage episode 437106771 series 3404634
Contenuto fornito da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Send us a text

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

Show less

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

113 episodi

Artwork
iconCondividi
 
Manage episode 437106771 series 3404634
Contenuto fornito da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Send us a text

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

Show less

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

113 episodi

Tutti gli episodi

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida