Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389474 | PMC |
| http://dx.doi.org/10.1097/JS9.0000000000000208 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Time-series single-cell transcriptomic profiling of luteal-phase endometrium uncovers dynamic characteristics and its dysregulation in recurrent implantation failures.
Nat Commun
January 2025
Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Understanding human endometrial dynamics in the establishment of endometrial receptivity remains a challenge, which limits early diagnosis and treatment of endometrial-factor infertility. Here, we decode the endometrial dynamics of fertile women across the window of implantation and characterize the endometrial deficiency in women with recurrent implantation failure. A computational model capable of both temporal prediction and pattern discovery is used to analyze single-cell transcriptomic data from over 220,000 endometrial cells.
View Article and Find Full Text PDFBMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.
Sci Data
December 2024
Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.
View Article and Find Full Text PDFGelatin/polycaprolactone membranes promote endometrial regeneration and restore fertility.
Gynecol Endocrinol
December 2024
Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Objective: To investigate the effectiveness of gelatin/polycaprolactone (GT/PCL) membranes for restoring endometrial structure and function and fertility in a rat model of endometrial injury.
Methods: We randomized 125 female Sprague-Dawley (SD) rats to the sham, natural repair (NR), estrogen (E), GT/PCL, and E-GT/PCL groups. Except for the sham group, all rats underwent uterine curettage.
Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis.
Health Technol Assess
December 2024
Usher Institute, University of Edinburgh, Edinburgh, UK.
Background: Around one in three pregnant women undergoes induction of labour in the United Kingdom, usually preceded by in-hospital cervical ripening to soften and open the cervix.
Objectives: This study set out to determine whether cervical ripening at home is within an acceptable safety margin of cervical ripening in hospital, is effective, acceptable and cost-effective from both National Health Service and service user perspectives.
Design: The CHOICE study comprised a prospective multicentre observational cohort study using routinely collected data (CHOICE cohort), a process evaluation comprising a survey and nested case studies (qCHOICE) and a cost-effectiveness analysis.
Maternal and Neonatal Outcomes of Labor Induction in Parous Women in a Selected Hospital in Sudan.
J Pharm Bioallied Sci
October 2024
Department of Physiology, RAK College of Medical Sciences, RAKMHSU, Al Qusaidat, Ras Al Khaimah, UAE.
Background: Induction of labor (IOL) initiates labor artificially, aiming to prevent potential risks for both mother and fetus. However, data on IOL outcomes for parous women in the developing countries are scarce.
Objectives: This study evaluates maternal and neonatal outcomes in parous women undergoing IOL at a Sudanese hospital.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!