Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer

Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer

Delta like canonical notch ligand 4 (Dll4) expression levels in tumors are known to affect the efficacy of cancer therapies. This study aimed to develop a model to predict Dll4 expression levels in tumors using dynamic enhanced near-infrared (NIR) imaging with indocyanine green (ICG). Two rat-based...

Full description

Bibliographic Details
Main Authors: Shayan Shafiee, Jaidip Jagtap, Mykhaylo Zayats, Jonathan Epperlein, Anjishnu Banerjee, Aron Geurts, Michael Flister, Sergiy Zhuk, Amit Joshi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Cancers
Subjects:
cancer
tumor microenvironment modifier
notch-DLL4
consomic xenograft model
machine learning
binary classification
Online Access:https://www.mdpi.com/2072-6694/15/5/1460

Internet

https://www.mdpi.com/2072-6694/15/5/1460

Similar Items