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Author

László Szathmáry

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2 papers indexed here

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Conference Aug 2026

Machine Learning-Based Molecular Classification of Endometrial Cancer Using Clinicopathological and Immunohistochemical Features: A Chinese Population Study

The Cancer Genome Atlas (TCGA) molecular classification of endometrial cancer (EC) into POLEmut, MMRd, p53abn, and NSMP subtypes has substantially improved prognostic stratification. However, molecular classification typically depends on sequencing, whereas surrogate clinical workflows combine immunohistochemistry (IHC...

Dhafer G. Honi, H. Jebur, László Szathmáry · 0 citations
Conference Open access 2026

An Interpretable Machine Learning Framework for Early Ectopic Pregnancy Prediction Using Routine Clinical Variables

Ectopic pregnancy (EP) remains a major cause of first-trimester maternal morbidity and mortality, while early diagnosis is challenging because clinical symptoms frequently overlap with those of other gynaecological conditions. This study proposes an interpretable machine-learning framework for early EP risk stratificat...

Dhafer G. Honi, A. A. Mohammed, László Szathmáry · 0 citations

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