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Updated: Jun 8, 2025
07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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Big data in breast cancer: Towards precision treatment
Hao Zhang1,2, Hasmah Hussin1,3, Chee-Choong Hoh4
1Breast Cancer Translational Research Program (BCTRP@IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Digital Health
|November 6, 2024
Summary
Big data analytics (BDA) is revolutionizing breast cancer care by integrating diverse datasets for improved prevention, diagnosis, and treatment. This review explores BDA
Area of Science:
- Oncology
- Bioinformatics
- Public Health
Background:
- Breast cancer is a leading global health threat for women.
- The World Health Organization's Global Breast Cancer Initiative aims to reduce mortality.
- Big data analytics (BDA) and precision medicine are transforming breast cancer research.
Purpose of the Study:
- To review the contributions of BDA to breast cancer precision medicine.
- To address the opportunities and challenges of using BDA in this field.
- To provide a foundation for future research in breast cancer management.
Main Methods:
- Literature review of BDA applications in breast cancer.
- Analysis of BDA's role in precision oncology and personalized care.
- Evaluation of BDA's impact on prevention, diagnosis, and treatment strategies.
Main Results:
- BDA enhances understanding of breast cancer biology and treatment response.
- Large-scale datasets (genetic, clinical, environmental) are leveraged by BDA.
- BDA drives advancements in precision oncology and personalized patient care.
Conclusions:
- BDA offers significant opportunities to deepen insights into breast cancer.
- Optimizing therapeutic approaches and improving patient outcomes are key benefits.
- Further systematic investigation of BDA in breast cancer is needed.
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