Pregnancy

Ultrasound-Based Kidney Stone Classification Using Kronecker Self-Organizing Map Forward Harmonic Network.

Kidney stone disease is a prevalent urological disorder that can result in severe pain, obstruction,...

Generic fitting models learn edge representations from prenatal retinal waves.

Orientation selectivity-the representation of oriented edges-is a hallmark of biological vision, sha...

AI-Driven nanofiber platforms for essential oil delivery in dry period cows: a sustainable strategy against mastitis and antimicrobial resistance.

The routine utilisation of prophylactic antibiotics in dairy cows during the dry period has been dem...

Deep Learning-Based Model for Breast Implant Classification in Ultrasonography: A Multi-Institutional Model Development and Validation Study.

BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in...

First-Trimester Machine Learning to Predict Preeclampsia in Normotensive Pregnancies by American Heart Association Guidelines.

This study aimed to determine whether unsupervised machine learning can identify phenotypically dist...

Renovating Neural Networks With Viral-Mediated Gene Transfer From A Tissue Contacting Matrix Mimic.

Neurodegenerative diseases such as Huntington's Disease (HD) have a significant impact on healthcare...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, ser...

AI-enabled, QbD-aligned Predictive, and Sustainable Design of Natural Polymer-based Drug Delivery Systems.

Natural polymers such as chitosan, alginate, cellulose, gelatin, and silk fibroin have become centra...

Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.

In Zimbabwe, the neonatal mortality rate (NMR) is higher than the regional average, and the country ...

A navigation-guided 3D breast ultrasound scanning and reconstruction system for automated multi-lesion spatial localization and diagnosis.

Handheld ultrasound (HHUS) is indispensable for breast cancer screening but remains compromised by o...

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 thi...

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 chang...

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-dimensio...

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 unk...

Sperm DNA fragmentation and its influence on mammalian reproduction.

Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embr...

Mechanoresponsive Biomaterials: Principles, Mechanisms, and Applications.

Mechanoresponsive biomaterials are a revolutionary class of materials designed to respond dynamicall...

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-...

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 f...

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. H...

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-ec...

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