Kristian Bechev

ORCID: 0009-0007-1460-3522 · 1 paper in corpus

review 2026

Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers

Diagnostics ·doi:10.3390/diagnostics16121823

Endometriosis is a chronic, debilitating condition affecting approximately 10-15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificia…