Results 201 to 210 of about 9,382,802 (338)
Venous thromboembolic diseases associated with uterine myomas diagnosed before hysterectomy: A report of two cases [PDF]
H. Tanaka+4 more
openalex +1 more source
Environment, lifestyle, and cancer in women
Abstract Environmental and lifestyle factors significantly contribute to gynecological cancers. The risk of ovarian cancer, one the most lethal gynecological cancer, is associated with obesity, poor dietary habits, and environmental pollutants, exacerbating hormonal imbalances, inflammation, and oxidative stress.
Sara Farina+3 more
wiley +1 more source
FIGO guideline on liver disease and pregnancy
Abstract The number of women entering pregnancy with chronic liver disease is rising. Gestational liver disorders affect 3% of the pregnant population. Both can be associated with significant maternal and fetal morbidity and mortality. European guidance has recently been published to inform management.
Melanie Nana+24 more
wiley +1 more source
Molecular aspects of uterine diseases in dogs
R. Hagman
semanticscholar +1 more source
Cytologic DNA methylation for managing minimally abnormal cervical cancer screening results
Abstract Objectives To explore the role of a DNA methylation assay for managing minimally abnormal cervical cancer screening results in a prospective cohort undergoing opportunistic cervical cancer screening. Methods In the cohort of the METHY2 and METHY3 screening studies of women undergoing opportunistic cervical cancer screening, cervical cytology ...
Xiao Shang+8 more
wiley +1 more source
Abstract Objective To investigate the clinical efficacy of the hysteroscopic‐assisted laparoscopic incised‐suture versus folded‐suture methods at the cesarean incision site for the treatment of previous cesarean scar defects (PCSD) and to evaluate pregnancy outcomes.
Shiying Wu+9 more
wiley +1 more source
Clear Cell Cancer of the Uterine Corpus: The Association of Clinicopathologic Parameters and Treatment on Disease Progression [PDF]
Joyce Varughese+4 more
openalex +1 more source
Abstract Objective To develop and validate advanced machine learning (ML) models for predicting unplanned intrapartum cesarean deliveries in women with no previous cesarean delivery, using both static and dynamic clinical data. Methods A retrospective cohort study was conducted using nationwide data from a large integrated healthcare provider ...
Ido Givon+7 more
wiley +1 more source