Enhancing Personalized Chemotherapy for Ovarian Cancer: Integrating Gene Expression Data with Machine Learning.

Journal: Asian Pacific journal of cancer prevention : APJCP
PMID: 40156413

Abstract

OBJECTIVE:  Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, often resulting in suboptimal chemotherapy outcomes. This study aimed to leverage machine learning algorithms, gene selection, and gene expression data to improve chemotherapy results.

Authors

  • Mahmood Khalsan
    Scientific Department, Warith International Cancer Institute, Karbala, 56001, Iraq.
  • Fawaz Al-Alloosh
    Scientific Department, Warith International Cancer Institute, Karbala, 56001, Iraq.
  • Ahmed S K Al-Khafaji
    Scientific Department, Warith International Cancer Institute, Karbala, 56001, Iraq.

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