Back to search

Article

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer

2024-07-16

Abstract excerpt

<h4>ABSTRACT</h4> Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial intelligence (AI) has emerged as a potential solution, yet its development requires extensive training for each cancer and IHC type, limiting versatility. We de...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
044ae350-cb78-560d-b7e0-9dd5440a694a
DOI
10.1101/2024.07.16.24310406
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry AnalyzerDOI 10.1101/2024.07.16.24310406
Select a neighboring publication to make it the new centre.