MODELING THE ROLE OF HORMONAL DYNAMICS AND ANTI-HORMONAL THERAPIES IN BREAST CANCER: A MULTIMODAL COMPUTATIONAL FRAMEWORK

Authors

  • Dr Saloni Jain Assistant Teacher, Samarkand State Medical University, Uzbekistan
  • Ayush Sharma Medical Student, Samarkand state Medical University, Uzbekistan
  • Susheen Bhat Medical Student, Samarkand state medical university, Uzbekistan
  • Purvansha Medical Student, Samarkand State Medical University, Uzbekistan

Keywords:

Breast cancer; Endocrine therapy; Mathematical modeling; Estrogen receptor; Aromatase inhibitors; Tamoxifen; Treatment resistance; Systems biology; Pharmacokinetics; Computational oncology

Abstract

Breast cancer remains the most prevalent malignancy among women globally, with endocrine therapy representing the cornerstone of treatment for hormone receptor-positive subtypes. However, the emergence of therapeutic resistance poses significant clinical challenges. This narrative review presents a comprehensive computational framework integrating mathematical modeling, systems biology, and clinical pharmacology to understand hormonal dynamics in breast cancer progression and treatment response. 

References

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Published

2026-04-20

How to Cite

MODELING THE ROLE OF HORMONAL DYNAMICS AND ANTI-HORMONAL THERAPIES IN BREAST CANCER: A MULTIMODAL COMPUTATIONAL FRAMEWORK. (2026). ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH, 3(4), 529-543. https://universalpublishings.com/index.php/aijmr/article/view/17823