From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients

Abstract With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined as a methodology for associating gene expression information from high‐throughput technologies with imaging phenotypes. However, with adva...

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Bibliographic Details
Main Authors: Yusheng Guo, Tianxiang Li, Bingxin Gong, Yan Hu, Sichen Wang, Lian Yang, Chuansheng Zheng
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
Subjects:
artificial intelligence
cancer
immune microenvironment
medical imaging
multi‐omics analysis
precision medicine
Online Access:https://doi.org/10.1002/advs.202408069
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https://doi.org/10.1002/advs.202408069

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