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Author

Meriem Yagoubi

1 paper indexed here

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Open access Aug 2026

A circulating three-miRNA panel (hsa-miR-29b-3p, hsa-miR-19b-3p, hsa-miR-30e-5p) for early-stage ovarian cancer detection: a machine-learning bioinformatics approach

Background Ovarian cancer (OVCA) remains one of the most lethal gynecological malignancies, primarily due to late-stage diagnosis and the lack of reliable early-detection biomarkers. Circulating microRNAs (miRNAs) have emerged as promising non-invasive biomarkers for cancer detection and prognosis. Objective This study...

Ahmed El Hosseiny, Meriem Yagoubi, Ahmed Moustafa et al. · 0 citations

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