Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer

These findings highlight the critical role of anoikis in breast cancer prognosis and underscore AIDAS's potential to guide individualized treatment strategies. By integrating machine learning with biological insights, AIDAS offers a promising approach for advancing personalized oncology. Its detailed understanding of the anoikis landscape paves the way for the development of targeted therapies, promising significant improvements in patient outcomes.

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Publication Details

Journal
Frontiers in Immunology
Published
2024-11-22
DOI
https://doi.org/10.3389/fimmu.2024.1491508
Citations
3
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer

Runhong Mu, Jiaying Xing, Wenchuang Yang, Tao Wang et al.
3 citations
Frontiers in Immunology
Bioinformatics and Genomic Networks
0.70
article

Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer

Runhong Mu, Jiaying Xing, Wenchuang Yang, Tao Wang, Xiao Guo, Xinlin Shi, Yuyan Cao
article en
3 citations

Abstract

These findings highlight the critical role of anoikis in breast cancer prognosis and underscore AIDAS's potential to guide individualized treatment strategies. By integrating machine learning with biological insights, AIDAS offers a promising approach for advancing personalized oncology. Its detailed understanding of the anoikis landscape paves the way for the development of targeted therapies, promising significant improvements in patient outcomes.

Frontiers in ImmunologyVol. 15
Beihua University (CN), Guizhou Provincial People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 29%
Bioinformatics and Genomic Networks
0.70
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