Back to search

Article

MAFNet: A Multi-modal Deep Learning Framework for Comprehensive Tumor Microenvironment Analysis and Immunotherapy Response Prediction

2026-03-23

Abstract excerpt

Predicting patient response to cancer immunotherapy remains a critical challenge due to the complex and heterogeneous nature of the tumor microenvironment. Current singlemodal analyses often fail to capture the intricate details influencing outcomes. To address this, we propose MAFNet, a novel Multi-modal Attention Fusion Network, designed to integrate diverse patient-derived data including pathological images, ge...

Topics

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

Identifiers and source

Literature Corpus work
fd0b9486-af52-5818-914a-2bf7923afadd
DOI
10.22541/au.177430092.29916634/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.
MAFNet: A Multi-modal Deep Learning Framework for Comprehensive Tumor Microenvironment Analysis and Immunotherapy Response PredictionDOI 10.22541/au.177430092.29916634/v1
Select a neighboring publication to make it the new centre.