Chao-Chung Kuo

ORCID: 0000-0001-8879-4754 · 8 papers in corpus · active 2025-2026

Study types

  • article 4
  • other 4

Condition tags

  • endometriosis 8
  • infertility 4
  • chronic_pelvic_pain 2
  • adenomyosis 1
article 2026
Additional file 1 of Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.6084/m9.figshare.31033773

Supplementary Material 1.

article 2026
Additional file 1 of Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.6084/m9.figshare.31033773.v1

Supplementary Material 1.

other 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.6084/m9.figshare.c.8236956

Abstract Background Endometriosis is a chronic gynecological disease associated with pain, infertility, and delayed diagnosis. Non-invasive biomarkers are urgently needed to facilitate earlier detection and reduce the reliance on diagnostic…

article 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
Reproductive biology and endocrinology : RB&E ·doi:10.1186/s12958-025-01517-6

BACKGROUND: Endometriosis is a chronic gynecological disease associated with pain, infertility, and delayed diagnosis. Non-invasive biomarkers are urgently needed to facilitate earlier detection and reduce the reliance on diagnostic laparos…

other 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.6084/m9.figshare.c.8236956.v1

Abstract Background Endometriosis is a chronic gynecological disease associated with pain, infertility, and delayed diagnosis. Non-invasive biomarkers are urgently needed to facilitate earlier detection and reduce the reliance on diagnostic…

article 2026
Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning
·doi:10.18154/rwth-2026-00724
other 2025
Diagnostic Potential of Serum Circulating miRNAs for Endometriosis in Patients with Chronic Pelvic Pain
Journal of clinical medicine ·doi:10.3390/jcm14145154

Background: Endometriosis is a chronic gynecological condition marked by ectopic endometrial-like tissue, leading to inflammation, pain, and infertility. Diagnosis is often delayed by up to 10 years. Identifying non-invasive biomarkers coul…

other 2025
Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study
Diagnostics ·doi:10.3390/diagnostics15233012

Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …