Pregnancy

Optimized fetal head circumference estimation in 2D ultrasound using EfficientNet-B7 and Adam optimizer.

Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature.

BACKGROUND AND OBJECTIVE: Characterizing the tumor microenvironment (TME) requires integrating multiple physiological features, including oxygenation, vascularity, and redox status. While EPR oxygen imaging (EPROI) provides spatial pO₂ maps, conventional metrics such as median pO₂ or hypoxic fraction (HF) may not fully capture vascular characteristics. This study aimed to identify EPROI-derived pa...

Prediction of retained placenta in holstein dairy cows based on machine learning approaches: Comparative analysis of risk factors and predictive algorithms.

Retained placenta (RP) is a common postpartum disorder in dairy cows that significantly impairs reproductive performance and farm profitability. This ...

Optimizing Timeliness of Healthcare Delivery in Diagnostic Radiology at U.S. Academic Centers.

RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic ...

Development trends and translational opportunities in self-assembled herbal bioactive materials research.

BACKGROUND: Self-assembled herbal bioactive materials (SAHBMs) represent a rapidly advancing frontier integrating phytochemistry, supramolecular chemi...

Fetal Fraction and Uterine Leiomyoma Volume: New Insights From Interpretable Modeling.

OBJECTIVE: This study aims to develop a predictive model to estimate the likelihood of achieving a sufficient fetal fraction (FF) for non-invasive pre...

Engineering brain-penetrant PROTACs: Bridging molecular design and CNS delivery.

The drug development for central nervous system (CNS) disorders, particularly neurodegenerative diseases, such as Alzheimer's disease, Parkinson's dis...

Artificial intelligence-assisted design and optimization of stimuli-responsive nanocarriers for smart drug delivery.

Stimuli-responsive nanostructures are a revolutionary breakthrough in the controlled delivery of drugs, allowing for their precise spatiotemporal cont...

Predicting amyotrophic lateral sclerosis stage based on multi-parameter ultrasound: development and validation of an interpretable machine learning model.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks sensitive, objective staging tools to guide clinical management and trials. Existing methods hav...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocag...

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predo...

Deep learning-based early prediction of gestational diabetes mellitus through first-trimester placental texture analysis.

INTRODUCTION: This study aimed to develop a multi-parameter fusion model for early GDM risk prediction and validate its performance through external m...

Nanomaterials reshaping cancer radiotherapy: Radiosensitization mechanisms, delivery and theranostic platforms, multimodal synergy, and clinical translation strategies.

Radiotherapy (RT) remains a cornerstone of cancer management but is fundamentally constrained by normal tissue toxicity, intrinsic and acquired radior...

Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.

BACKGROUND: Gestational diabetes mellitus (GDM) remains a prevalent and heterogeneous pregnancy complication with limited strategies for early identif...

Machine Learning-Assisted Optimization Framework for Single-Element Transcranial Focused Ultrasound Transducer Design for Deep Brain Neuromodulation in Mice.

BACKGROUND: Transcranial focused ultrasound (t-FUS) is an emerging noninvasive neuromodulation technique with high spatial precision and deep brain pe...

Technology in Diabetes: A Year in Review.

The past year has continued the rapid evolution of diabetes technology across the monitoring, delivery, analytics, and patient-support domains. Improv...

Deep learning-based early prediction of carotid plaque response to lipid-lowering therapy using longitudinal multimodal ultrasound imaging.

OBJECTIVE: This study aimed to develop and validate a deep learning prediction model using longitudinal multimodal ultrasound imaging for early identi...

Artificial intelligence-based prediction of radio-cephalic arteriovenous fistula maturation using preoperative duplex examination: a retrospective multicenter cohort study.

Establishing a functional arteriovenous fistula (AVF) is crucial to ensure effective dialysis treatment. However, there are currently no definitive cr...

Therapeutic ultrasound in ophthalmology: a comprehensive review.

BACKGROUND: Therapeutic ultrasound has emerged as a promising noninvasive or minimally invasive modality in ophthalmology, offering novel solutions ac...

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conventional ex vivo manufacturing toward in situ cellu...