Computational modeling of breast tissue mechanics and machine learning in cancer diagnostics: enhancing precision in risk prediction and therapeutic strategies.

Journal: Expert review of anticancer therapy
Published Date:

Abstract

INTRODUCTION: Breast cancer remains a significant global health issue. Despite advances in detection and treatment, its complexity is driven by genetic, environmental, and structural factors. Computational methods like Finite Element Modeling (FEM) have transformed our understanding of breast cancer risk and progression.

Authors

  • Layal Ashi
    Department of Molecular Medicine, College of Medicine and Health Sciences, Princess Al-Jawhara Center for Molecular Medicine and Inherited Disorders, Arabian Gulf University, Manama, Kingdom of Bahrain.
  • Sebastien Taurin
    Department of Molecular Medicine, Arabian Gulf University, Manama, Kingdom of Bahrain.