Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+, Mozilla Firefox 20+, Internet Explorer 11, Opera 15–18, Apple Safari 7, SeaMonkey 2.15-2.23

Become a member
  1. OncologyPRO
  2. ESMO Videos

Multiple Instance Learning Applied to Digital Pathology for Prediction of BRCA Mutations in Prostate Cancer

Login to get immediate access to this content.

Login

Speaker: Carlos Macarro, Spain

Abstract discussed:

The speakers and studies featured in this video series were selected independently by ESMO.

Published November 2024

Related Videos

An Automatic Learning Platform To Annotate Variants of Unknown Significance
Data from First Interim Analysis of the Comprehensive Clinico-Genomics Database Network in Germany
MTB Offers Matched Therapies Beyond ESCAT Tier 1 Alterations in Patients with Advanced Cancer
Pre-Clinical Pan-Cancer Drug Repurposing via Deep Learning
Tackling Heterogeneity of Endocrine Resistance in ER positive Breast Cancer

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings

  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.