Masoudi M

ORCID: 0009-0007-0191-9042 · 2 papers in corpus

2026

Preoperative differentiation of borderline and malignant ovarian tumors using interpretable machine learning.

Journal of ovarian research ·doi:10.1186/s13048-026-02062-5

Ovarian cancer remains one of the most lethal gynecological malignancies, with borderline ovarian tumors (BOTs) representing lesions of low malignant potential requiring distinct surgical management. Accurate preoperative differentiation be…

2025

Integrated Analysis, Machine Learning, Molecular Docking and Dynamics of CDK1 Inhibitors in Epithelial Ovarian Cancer: A Multifaceted Approach Towards Targeted Therapy.

International journal of molecular sciences ·doi:10.3390/ijms26189168

Epithelial ovarian cancer (EOC) remains one of the deadliest gynecologic malignancies, largely due to late diagnosis and treatment resistance. The main objective of this study is to identify and validate CDK1 as a high-confidence therapeuti…