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A SERRS-Based Lateral Flow Assay for Sensitive Detection of Mitochondrial DNA in Endometriosis Screening.

Endometriosis (EMT) is an incurable and painful chronic illness that affects approximately 10% of people assigned female at birth worldwide. Currently, EMT takes on average 5-7 years to diagnose after …

Published: March 12, 2026, midnight
Integration of Raman tweezers and machine learning for label-free single-cell characterization of endometriosis cells.

Endometriosis occurs when endometrial tissue grows outside the uterus, affecting millions of women worldwide. Despite extensive research, its cellular mechanisms remain unclear, complicating both diagnosis and treatment. This study presents …

Published: Feb. 19, 2026, midnight
Atypical gelation of Elagolix sodium in aqueous media: Mechanistic insights and Inhibition via coamorphization.

Elagolix sodium (ELS), a non-peptide oral gonadotropin-releasing hormone receptor (GnRH) antagonist approved for the treatment of endometriosis-associated pain, displays atypical gelation in aqueous environments along with challenging physical properties such …

Published: Feb. 12, 2026, midnight
FTIR Spectroscopy Combined with Machine Learning Reveals Molecular Signatures Distinguishing three Phenotypes of Endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uterus, leading to pelvic pain and infertility. It remains a major challenge in women's health due to …

Published: Jan. 5, 2026, midnight
Biochemical Heterogeneity of Endometriosis Phenotypes Revealed by FTIR Analysis.

Fourier-transform infrared (FTIR) spectroscopy was used to investigate molecular differences among peritoneal, ovarian, bowel endometriosis phenotypes and control tissues. Peritoneal lesions showed the most pronounced spectral changes in CH-stretching (2800-3000 …

Published: Nov. 30, 2025, midnight
Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …

Published: Nov. 23, 2025, midnight
A machine learning approach towards endometriosis screening using infrared spectra of urine.

Endometriosis diagnosis is challenging due to non-specific symptoms that overlap with other gynaecological conditions. This study proposes a non-invasive Machine Learning (ML) ‒ based urine test using Attenuated Total Reflection …

Published: Sept. 6, 2025, midnight
Curcumin-gold nanoshell mediated near-infrared irradiation on human ovarian cancer cell: in vitro study.

Ovarian cancer is considered a predominant female reproductive malignancy and poses a significant threat due to its 80-90% fatality rate. The typical approach involves surgery and chemotherapy, which due to …

Published: April 1, 2025, midnight
Spectrochemical differentiation in endometriosis based on infrared spectroscopy advanced data fusion and multivariate analysis.

Endometriosis is a common benign gynecological condition characterized by the growth of endometrial gland and stroma located outside the uterine cavity, which the current approaches for its detection are invasive …

Published: Feb. 11, 2025, midnight
Fibrinogen Structural Changes and Their Potential Role in Endometriosis-Related Thrombosis.

Endometriosis (EM), a chronic inflammatory condition predominantly affecting women of reproductive age, has been linked to an elevated risk of thrombosis, though its underlying molecular mechanisms remain incompletely understood. In …

Published: Nov. 27, 2024, midnight
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