Journal of the Egyptian National Cancer Institute

· 2 papers in corpus
2026
doi:10.1186/s43046-025-00337-4 ·PMID:41486333

BackgroundOvarian cancer remains the most lethal gynecological malignancy, necessitating precise diagnostic strategies to improve patient outcomes. This study aims to develop and evaluate machine learning models that utilize patient history…

2020
doi:10.1186/s43046-020-00052-2 ·PMID:33135114

BackgroundEndometrial carcinoma is one of the most common female cancers in developed countries. Disease stage is associated with the risk of disease relapse after radical treatment. Typically, the risk of disease relapse peaks at 3 years f…