Pregnancy

Multimodal sparse fusion transformer network with spatio-temporal decoupling for breast tumor classification.

Accurate analysis of tumor morphology, vascularity, and tissue stiffness under multimodal ultrasound imaging plays a critical role in the diagnosis of breast cancer. However, manual interpretation across multiple modalities is time-consuming and heavily dependent on the radiologist's expertise. Computer-aided classification offers an efficient alternative, yet remains challenging due to significan...

Rationalizing nose-to-brain drug delivery: Machine learning-guided optimization and mechanistic elucidation of olfactory deposition for nasal sprays.

Nose-to-brain drug delivery via nasal sprays is severely limited by low olfactory deposition. In this study, we integrate machine learning with high-throughput experimentation to systematically optimize olfactory deposition of solid lipid nanoparticle-loaded nasal sprays (SLN-NS). By engineering the dispersed medium properties using five excipients at varying concentrations across 40 formulations,...

Synergies between data science methods and innovative drug delivery technologies.

Most areas of science and technology and beyond are undergoing an almost unprecedented rate of change, driven largely by the rapid growth in automatio...

Functional neurobehaviour of the human fetus: a comprehensive framework for prenatal assessment using 4D ultrasound and AI.

OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensional ultrasound (4D-US), structured scoring systems...

Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.

To determine whether there are radiomic ultrasound features of early pregnancy when viability is unknown, which in combination with clinical features,...

Sperm DNA fragmentation and its influence on mammalian reproduction.

Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcome...

Mechanoresponsive Biomaterials: Principles, Mechanisms, and Applications.

Mechanoresponsive biomaterials are a revolutionary class of materials designed to respond dynamically to mechanical stimuli, providing tissue engineer...

From Joint Cognitive Systems to Human-AI Joint Cognitive Systems: A Theory Critique and Application to Obstetric Anesthesia Risk Assessment.

This article examines the joint cognitive systems framework as a foundation for understanding human-machine collaboration. Using Meleis's theory evalu...

A comprehensive review of emerging protein modification methods: modified properties and potential applications.

This review discusses recent advances in protein modification technologies that aim to enhance key functional properties, including solubility, emulsi...

The predictive edge: modeling and simulation in drug product development.

It is well-known that drug development is challenging and a time- and resource-intensive endeavor. Historically, it has relied heavily on trial-and-er...

Feasibility study of fast T2-weighted imaging with deep-learning reconstruction in volunteers and emergency patients with acute abdomen.

PURPOSE: To evaluate the image quality and clinical utility of DLR-enhanced single-shot fast spin-echo (SSFSE) T2-weighted imaging (T2WI) for diagnosi...

Construction of an interpretable machine learning model for predicting gestational diabetes mellitus based on 45 dietary nutrients.

Demand-driven dynamics and evolutionary patterns of graduate employment in China based on recruitment big data.

Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated...

Peptide-nanoparticle platforms for antisense therapeutics: A coarse-grained modeling approach to brain delivery.

Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting in complex, unresolved molecular and cellular dysf...

IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry.

Accurate intrapartum biometry plays a crucial role in monitoring labor progression and preventing complications. However, its clinical application is ...

Recent advances in redox-responsive polysaccharide-based nanostructures for cancer therapy.

Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-selectivity, and side effects. Nano-drug delivery syst...

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

OBJECTIVES: To quantify fetal brain maturation in fetuses with early-onset fetal growth restriction (FGR) by estimating gestational age (GA) based on ...

Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study.

BACKGROUND: Given the highly heterogeneous biology of breast cancer, a more effective noninvasive diagnostic tool that unravels microscopic histopatho...

Sorafenib nanomedicine in HCC: nano-bio interactions and combination therapies.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with systemic therapies offering only limited benefit. S...

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing a noninvasive, accessible, repeatable, efficient, ...