Analysis of the influencing factors for adverse reproductive outcomes in patients with positive TPOAb and the establishment of a nomogram prediction model Nature
Ultrasonic prediction model using three-dimensional power doppler for endometrial cancer detection in women with postmenopausal bleeding Nature
Advanced Age as a Predictor of Unsuccessful Bilateral Sentinel Lymph Node Detection Using Radiocolloid Mapping in Patients With Endometrial Cancer: A Prospective Observational Study Cureus
A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images Nature
Managing complex chronic illness is challenging due to its unpredictability. This paper explores the potential of voice for automated flare-up forecasts. We conducted a six-week speculative design study with individuals …
Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study Nature
Predicting Recurrence Risk in Endometrial Cancer: A Multisequence MRI Intratumoral and Peritumoral Radiomics Nomogram Approach Frontiers
Endometriosis (EMS) significantly impacts women's health and is influenced by genetic factors and environmental endocrine-disrupting chemicals (EDCs), which interfere with hormonal balance. Using the Gene Expression Omnibus database, we identified …
Symptom relief can be achieved for many patients with endometriosis by tailored individual treatment. However, therapy resistance is observed in some patients. This study surveyed patient-reported long-term outcomes after laparoscopic …
Endometriosis (EMS) is a chronic, gynecological condition affecting 6-10 % of reproductive-age women. While these lesions are benign, ovarian EMS presents cancer-like features, and can progress to endometriosis-correlated ovarian cancer …