Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Preoperative planning of the surgical approach for cervical spondylotic myelopathy (CSM) is central to precision medicine. This study used supervised machine learning (SML) to build a predictive model for surgical approach selection in CSM and applied unsupervised machine learning (UML) to explore clinical heterogeneity. METHODS: In this retrospective study, a development cohort of 884...
Genome editing has revolutionized molecular biology. It offers precise modification of genetic material across diverse organisms. This review outlines the evolution of genome editing technologies from homologous recombination to advanced Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated protein 9 (CRISPR-9) based systems that now dominate the field. Early methods, such ...
This study identified thrombospondin-1 (THBS1) as a potential biomarker for polycystic ovary syndrome (PCOS) and its pivotal role in disease pathogene...
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...
BACKGROUND: Postpartum hemorrhage requiring a blood transfusion is a concern for patients and clinicians. Postpartum hemorrhage risk and mode of deliv...
The rapid growth of lipid nanoparticle (LNP)-based RNA therapeutics demands predictive tools to accelerate formulation and lipid design, yet developme...
Although protein engineering and laboratory evolution have been used to optimize prime editors, we show that previous changes that improve prime edito...
UNLABELLED: Ovarian clear cell carcinoma (OCCC) is a clinically aggressive subtype of epithelial ovarian cancer with limited therapeutic options. Here...
BACKGROUND: Current neonatal resuscitation program standards recommend the use of real-time documentation completed by a designated scribe. Accurate d...
Nonviral polymeric vectors offer a tunable platform for nucleic acid delivery, yet formulation variables beyond polymer structure remain underexplored...
Identifying blood groups accurately is critical for safe medical practices, especially in emergencies, surgeries, and prenatal care. Conventional meth...
PURPOSE: Hypertensive disorders in pregnancy (HDP) affect 16% of births in the United States. In this pilot study, we conducted a preliminary evaluati...
Treatment planning is a multi-disciplinary effort that requires medical decision-making, specialized training, and access to specialized software. Rec...
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliabil...
Colorectal cancer (CRC) is a health burden due to its high mortality rate, recurrence rate, and drug resistance. The limitations of traditional method...
INTRODUCTION: The combination of phototherapy (PTT/PDT) and immunotherapy holds promise for cancer treatment but is hindered by poor spatiotemporal co...
BACKGROUND: Prenatal depression is highly prevalent and associated with early-life adversities like adverse childhood experiences (ACEs) and school bu...
STUDY DESIGN: This prospective cohort study included pregnant women from a tertiary hospital in Kunming between 2022 and 2023. Demographic characteris...
BACKGROUND: Endometriosis (EMs) is a common gynecological disorder characterized by ectopic endometrial tissue growth, leading to chronic inflammation...
A correct emergence profile is fundamental for achieving a natural result to transition from an implant with a circular neck to a cervical area that r...