Pregnancy

SERPINA3 and NDRG1 are critical diagnostic immune genes associated with macrophages in preeclampsia.

Preeclampsia (PE) is a pregnancy complication involving immune dysregulation. This study aims to identify diagnostic immune biomarkers for PE using machine learning. mRNA expression profiles from GSE75010 and immune-related genes from ImmPort were analyzed. Differentially expressed immune-related genes (DIRGs) were identified and subjected to GO/KEGG enrichment, PPI network, LASSO, and mSVM-RFE an...

Gauging support for autonomous delivery drones powered by artificial intelligence: A public survey in Singapore.

There has been emerging empirical evidence supporting the role of artificial intelligence (AI) knowledge in public support for AI. These findings stand in sharp contrast to the long-standing cognitive miser view in determining technological acceptance. In this study, by contrasting models of knowledge deficit against cognitive miser using data from a large-scale public opinion survey about autonom...

Advances in Ultrasound-Guided Fascial Plane Blocks for Perioperative Acute Pain Management.

INTRODUCTION: Perioperative acute pain remains a major challenge because conventional analgesic strategies are often limited by inadequate efficacy an...

Redesigning trauma-focused interventions to address capacity challenges in mental health systems.

Despite strong evidence supporting the use of trauma-focused evidence-based psychotherapies (EBPs) to treat posttraumatic stress disorder (PTSD), heal...

The role of emerging technology in expanding regional anesthesia education and patient access.

PURPOSE OF REVIEW: The purpose of this article is to identify promising technologies that can enhance core regional anesthesia training, competence, a...

Methodological guidance on clinical prediction models in mental health research.

Clinical prediction models play a crucial role in advancing personalized care for mental health disorders, providing essential insights for diagnosis,...

Neuroendocrine basis of affective behavior: what we can learn from differences in sex development (DSD).

Steroid hormones influence affective behavior and its underlying neural networks. However, distinguishing between organizational and activational horm...

Retinal vascular features enhance short-term prediction of delivery in hypertensive disorders of pregnancy.

OBJECTIVE: Hypertensive disorders of pregnancy (HDP) are a significant global health concern requiring effective strategies for risk stratification. W...

Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework.

Gestational diabetes mellitus, often known as GDM, is a major health issue that causes complications for mothers and requires patient data prediction ...

Comparative evaluation of machine-learning algorithms for early detection of metritis in dairy cows.

Metritis is a common postpartum uterine disease in dairy cows that impairs fertility, reduces milk yield, increases culling risk, and causes substanti...

Acoustic Cavitation-Induced Unfolding and Solubilization of Velvet Antler Protein for Antioxidant Peptide Release: Substrate Modification Kinetics, Quantum Chemistry, and Keap1/Nrf2-Associated Cellular Responses.

The targeted extraction of bioactive peptides from structurally robust biological matrices, such as velvet antler protein (VAP), is severely hindered ...

Low Rates of Fibrosis in Eyes Treated with the Port Delivery Platform with Ranibizumab or with Monthly Ranibizumab in the Archway Trial.

PURPOSE: To evaluate the proportion of eyes with fibrosis in the Archway neovascular age-related macular degeneration trial, which compared efficacy a...

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement.

Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence-based interventio...

Zero-shot performance of a general-purpose vision-language model for pediatric appendicitis diagnosis.

BACKGROUND: General-purpose vision-language models can analyze medical images without task-specific training, but their value for pediatric abdominal ...

Diagnostic Performance of Artificial Intelligence in Salivary Gland Tumors Using Ultrasound Imaging: A Systematic Review.

BackgroundSalivary gland tumors are heterogeneous, making diagnosis challenging. Artificial intelligence (AI) is a potential adjunct in diagnosis, tho...

Emerging paradigms in nanostructured targeted drug delivery systems.

Nanostructured drug delivery systems have emerged as powerful and versatile approaches to overcome the limitations of conventional therapeutic strateg...

First-trimester multi-modal cell-free DNA analysis for prediction of preterm and term preeclampsia.

BACKGROUND: Preeclampsia, which is a leading cause of maternal and perinatal mortality and morbidity, represents a biologically heterogeneous syndrome...

SLC6A8-centered placental molecular signature predicts fetal growth restriction via machine learning and single-cell analysis.

Fetal growth restriction (FGR) is a common and severe complication during pregnancy, serving as a primary cause of intrauterine fetal distress and per...

A Coarse-to-Fine DoubleUNet Framework with Synergistic Loss for Accurate Fetal Head Circumference Measurement.

OBJECTIVE: Fetal head circumference (HC) measurement is a routine and indispensable examination during pregnancy, closely associated with fetal health...

Ultrasound-based multiregional radiomics nomogram for predicting recurrence in HER2-positive breast cancer.

PURPOSE: Accurate prediction of recurrence risk is crucial for personalizing therapy in human epidermal growth factor receptor 2-positive (HER2-positi...