Tadeja Režen
ORCID: 0000-0001-6210-7370
· 2 papers in corpus
Abstract Study question Can blood biomarker candidates for peritoneal endometriosis be identified by an untargeted transcriptomic approach using whole genome RNA sequencing of whole blood and machine learning? Summary answer A machine learn…
ABSTRACT Context Peritoneal endometriosis (PE) remains challenging to diagnose, as it cannot be detected using standard imaging modalities and no clinically validated biomarkers are available. Objective To identify novel blood-based biomark…