Serum Fingerprinting-Based Integrative Dual-Omics Machine Learning for Endometriosis-Associated Ovarian Cancer.
Dual-omics, by integrating molecular information from two distinct dimensions, can offer more comprehensive perspective for complex disease. Herein, we developed an efficient functionalized mesoporous nanoparticle-coupled laser desorption/ionization mass spectrometry (fMNPLDI-MS) …
The burden of endometriosis on quality of life in Danish women: an analysis of the Danish Blood Donor Study.
Endometriosis is a complex condition with a wide range of comorbidities. It is widely underdiagnosed, with a diagnostic delay of 4 to 10 years, potentially leading to worsened disease progression …
Potential biomarkers for early detection of endometriosis: current state of art (what we know so far).
Endometriosis is a chronic gynecological condition characterized by the presence of endometrial-like tissue outside the uterine cavity. Its diagnosis remains a significant clinical challenge, often delayed by 7 to 12 …