Back to search

Article

Cancer drug sensitivity prediction from routine histology images

2023-08-18

Abstract excerpt

<title>Abstract</title> <p>Drug sensitivity prediction models can aid in personalising cancer therapy, biomarker discovery, and drug design. Such models require survival data from randomized controlled trials which can be time consuming and expensive. In this proof-of-concept study, we demonstrate for the first time that deep learning can link histological patterns in whole slide images (WSIs) of Haematoxylin & E...

Topics

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

Identifiers and source

Literature Corpus work
0df30d0b-b490-5e56-893e-a911f127e25d
DOI
10.21203/rs.3.rs-3252031/v1
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.
Cancer drug sensitivity prediction from routine histology imagesDOI 10.21203/rs.3.rs-3252031/v1
Select a neighboring publication to make it the new centre.