Metabolism-regulating microspheres have evolved from conventional drug carriers into active platforms capable of spatiotemporally reprogramming pathological metabolic networks. Chronic diseases are increasingly understood to be driven by metabolic dysregulation, highlighting …
Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth, causing pain and infertility. Diagnosis is often delayed due to reliance on imaging and invasive methods, highlighting the …
This study aimed to construct and validate a nomogram for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility and pelvic endometriosis, providing a basis for precise …
Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Some benign ovarian conditions, such as endometriosis, can have features that mimic cancer. We use optical-resolution photoacoustic microscopy (OR-PAM) …
Upon exposure to biofluids, engineered nanoparticles (NPs) spontaneously form reproducible biomolecular coronas via selective diverse biomolecule adsorption. The corona characterization of metabolites poses greater analytical challenges than proteins due to …
This study aims to explore the value of MRI intravoxel incoherent motion (IVIM) combined with T2 mapping in predicting the malignancy of endometriosis (EM) and construct a noninvasive preoperative risk …
Endometriosis is a hormone-dependent disease, in the pathophysiology of which sex hormones (androgens, estrogens, etc.) are involved. The level of bioactive androgens/estrogens (in the free state) in the organism largely …
Although there is growing evidence supporting the use of cannabis-based medicinal products (CBMPs) for the management of chronic pain, there is a paucity of data on their effect on endometriosis-associated …
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) …
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 …