Pregnancy

Employing in-context learning prompts with large language models for drone routing in delivery services.

Autonomous Aerial Vehicles (AAVs) - known as drones - employment in delivery services is one of the promising transformative technologies. The AAV industry has taken significant steps to develop drones to fulfill the needs of delivery services. However, AAVs have limitations related to the flight range and payload capacity. Therefore, drone route planning is crucial to reducing the effectiveness o...

Toward animal-free approaches in subcutaneous drug delivery: A pain management case study.

Subcutaneous (s.c.) administration offers practical advantages for long-acting drug delivery, yet its complex tissue environment, lack of standardized models, and limited regulatory guidance pose challenges for predicting pharmacokinetics (PK). Here, we present a complementary set of experimental and computational approaches to reduce reliance on animal testing while maintaining translational rele...

Physics-based simulation of ultrasound propagation from MRI volumes for cross-modal breast imaging.

BACKGROUND: Magnetic resonance imaging (MRI) of breast tissue is often used to definitively diagnose breast cancer due to its high soft-tissue contras...

Internal and external validation of a machine learning algorithm to detect preeclampsia-related adverse outcomes in high-risk pregnancies.

OBJECTIVES: This study aimed to refine an existing machine learning (ML) algorithm for predicting preeclampsia-related adverse outcomes and to assess ...

Comparison of breast ultrasound image classification accuracy between convolutional neural networks and human experts using multicenter external validation cohort data.

PURPOSE: In recent years, much research has been conducted on ultrasound diagnosis of breast tumors using convolutional neural networks (CNNs). While ...

AI-augmented ultrasound analysis of noninvasive quantification of hydrogels concentration for bioprinting.

Hydrogels, possessing biocompatibility and flexibility, are widely used across biomedical and industrial domains, with their concentration serving as ...

Ultrasound Localization Microscopy Learned from power doppler by uncertainty frequency density estimation and semantic consistency awareness.

Ultrasound Localization Microscopy (ULM) achieves micron-level vascular visualization beyond the resolution of conventional ultrasound imaging by trac...

Effectiveness of Thoracic Paravertebral Block in Minimally Invasive Vertebroplasty: A Retrospective Cohort Study Focusing on Pain Trajectories and Sagittal Spinal Alignment.

PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...

A multiday machine learning framework based on improved-NEQsi for predicting embryo quality and pregnancy outcomes in IVF.

PURPOSE: Current embryo selection is limited by fragmented morphological assessments, high resource demands of image-based Artificial Intelligence, an...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and g...

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies managed by emergency medical services (EMS). Rapid as...

Milliwatt ultrasound for navigation in visually degraded environments on palm-sized aerial robots.

Tiny palm-sized aerial robots have exceptional agility and cost-effectiveness in navigating confined and cluttered environments. However, their limite...

The forgotten spectrum: Reviving ultrasound for robust autonomy.

Seemingly outdated ultrasound combined with edge-AI denoising can make autonomy more robust when vision fails.

Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China.

PURPOSE: Aims to use machine learning to predict the risk of small for gestational age (SGA) and identify its important predictors. METHODS: This is a...

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating hereditary hematopoietic disorders, yet the efficient and...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attributed to the structural complexity of the central nerv...

Nanogels for the targeted delivery of antibiotic and antimicrobial drugs.

Nanoparticle-based drug delivery systems represent a promising platform for advancing biomedical therapies. Among them, nanogels - three‑dimensional, ...

PNET-PRISM: a multicenter-validated radiomics nomogram for noninvasive grading of pancreatic neuroendocrine tumors.

BACKGROUND: Accurate preoperative grading of pancreatic neuroendocrine tumors (PNETs) is essential for optimal treatment selection, yet endoscopic ult...

Microneedle-based theranostics for melanoma: Advances and outlook.

Melanoma represents a highly aggressive malignancy that poses persistent challenges for clinical diagnosis and treatment. Although surgical interventi...

Explainable AI for gastrointestinal lesion surveillance and precision targeted drug delivery.

The Internet of Bio-NanoThings (IoBNT) promises revolutionary healthcare applications, particularly in targeted drug delivery. However, major challeng...