A Novel Effective Models for Identifying BRCA Patients and Optimizing Clinical Treatments.

Journal: Anti-cancer agents in medicinal chemistry
PMID: 39694961

Abstract

OBJECTIVE: This study aimed to develop an effective model that identifies high-risk breast cancer (BRCA) patients and optimizes clinical treatments.

Authors

  • Yi Luo
    Electrical and Computer Engineering Department, Bioengineering Department, University of California, Los Angeles, CA 90095 USA, and also with the California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Zeyu Hou
    Key Laboratory of Songliao Aquatic Environment, Ministry of Education, Jilin Jianzhu University, Changchun, 130118, China. houzeyu890829@163.com.
  • Daigang Xiong
    Department of Thyroid and Breast Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, P.R. China.
  • Rui Chen
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China.

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