相似文献
1
Editorial: Breast cancer resistance, biomarkers and therapeutics development in the era of artificial intelligence.
Front Mol Biosci. 2022 Sep 28;9:1034990. doi: 10.3389/fmolb.2022.1034990. eCollection 2022.
2
Editorial: An era of personalized medicine in breast cancer: integrating artificial intelligence into practice.
Front Oncol. 2023 Jun 6;13:1164808. doi: 10.3389/fonc.2023.1164808. eCollection 2023.
3
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms.
Front Oncol. 2020 Mar 31;10:330. doi: 10.3389/fonc.2020.00330. eCollection 2020.
4
The Need for Artificial Intelligence in Digital Therapeutics.
Digit Biomark. 2020 Apr 8;4(1):21-25. doi: 10.1159/000506861. eCollection 2020 Jan-Apr.
5
Artificial intelligence and radiomics in nuclear medicine: potentials and challenges.
Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2731-2736. doi: 10.1007/s00259-019-04593-0.
6
Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System.
Front Med (Lausanne). 2021 May 24;8:587496. doi: 10.3389/fmed.2021.587496. eCollection 2021.
7
New Opportunities and Challenges for Forensic Medicine in the Era of Artificial Intelligence Technology.
Fa Yi Xue Za Zhi. 2020 Feb;36(1):77-85. doi: 10.12116/j.issn.1004-5619.2020.01.016.
8
[The development of ophthalmology in artificial intelligence era].
Zhonghua Yan Ke Za Zhi. 2018 Sep 11;54(9):645-648. doi: 10.3760/cma.j.issn.0412-4081.2018.09.002.
9
Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.
Radiol Med. 2022 Jan;127(1):39-56. doi: 10.1007/s11547-021-01423-y. Epub 2021 Oct 26.
10
Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies.
Int J Environ Res Public Health. 2020 Mar 20;17(6):2078. doi: 10.3390/ijerph17062078.
引用本文的文献
1
Machine Learning-Based Prognostic Signature in Breast Cancer: Regulatory T Cells, Stemness, and Deep Learning for Synergistic Drug Discovery.
Int J Mol Sci. 2025 Jul 21;26(14):6995. doi: 10.3390/ijms26146995.
2
Stemness signature and targeted therapeutic drugs identification for Triple Negative Breast Cancer.
Sci Data. 2023 Nov 20;10(1):815. doi: 10.1038/s41597-023-02709-8.
本文引用的文献
1
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
2
An Integrated Systems Biology and Network-Based Approaches to Identify Novel Biomarkers in Breast Cancer Cell Lines Using Gene Expression Data.
Interdiscip Sci. 2020 Jun;12(2):155-168. doi: 10.1007/s12539-020-00360-0. Epub 2020 Feb 13.
Zotero 插件