Devices and Vaccines

A risk-constrained machine learning method for reproducible and sensitive gas-sensing material screening.

Gas sensors are increasingly needed for rapid detection of diverse air pollutants, yet sensing material development remains labor-intensive due to the wide variety of target gases. Data-driven approaches based on machine learning (ML) offer a promising route to accelerate this process. However, materials with high predicted sensitivity do not necessarily exhibit sufficient device-to-device reprodu...

Automated comet assay analysis using YOLOv5-based deep learning.

BackgroundThe comet assay is a sensitive and widely used technique for assessing DNA damage at the single-cell level. Despite its advantages, traditional manual scoring methods remain time-consuming, subjective and limited in scalability, posing challenges for high-throughput and standardized analysis.ObjectiveThis study aims to develop and evaluate a deep learning-based system for automated comet...

Comparison of Super-Resolution Deep-Learning Reconstruction and Hybrid Iterative Reconstruction for Coronary Stent Assessment on CTA: A Prospective Multicenter Study.

Background: Conventional deep-learning reconstruction (DLR) CT methods provide noise reduction but limited improvements in spatial resolution. Objecti...

Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.

The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technolog...

Circulating T-cell phenotypes are influenced by prior Staphylococcus aureus exposure in hemodialysis patients.

Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who would significantly benefit from a preventative vac...

Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promotion and use of human papillomavirus (HPV) vaccinati...

Microfluidic-enabled stretchable thermoelectric device array for multimodal haptic interfaces.

Stretchable thermoelectric devices hold significant promise for thermal haptic interfaces. However, their development has been constrained by limited ...

Japan's contributions to hip joint preservation and reconstruction: from osteonecrosis and developmental dysplasia to precision arthroplasty.

PURPOSE: To review Japan's major contributions to hip joint preservation and reconstruction, spanning joint-preservingosteotomy, biomaterials innovati...

Classification of neurodevelopmental disorders and typical development using deep learning and a portable patch-type electroencephalography device.

Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are common neurodevelopmental disorders (NDDs) in children and ofte...

Vocal Outcomes After Cell-Based Outer Vocal Fold Implant in Porcine Bilateral Vocal Fold Resection.

OBJECTIVE: Cell-based outer vocal fold replacement (COVR) consists of human adipose-derived stem cells and is a potential treatment for severe vocal f...

AI-driven multiscale modeling of mechanical and corrosion properties in biodegradable Mg-Lu alloys.

Magnesium-lutetium (Mg-Lu) alloys exhibit significant potential as biodegradable bone implant materials. However, their low alloying content necessita...

An advanced AI-driven deep learning framework for early detection and precise diagnosis of breast cancer from medical images.

A malignant disorder known as breast cancer (BC) arises when cells in breast tissue grow out of control, frequently due to genetic, hormonal, or envir...

Procedural Strategies for Optimal Transcatheter Aortic Valve Replacement: An International Position Statement.

The extension of transcatheter aortic valve replacement (TAVR) to younger patients with longer life expectancy has driven a shift in focus toward proc...

Artificial intelligence with mucosal exposure devices versus artificial intelligence alone in detection of colorectal adenomas: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Both artificial intelligence (AI) and mucosal exposure devices (MEDs) have been shown to improve adenoma detection rate and reduc...

Analysis of health anxiety trajectories in rabies exposure patients based on machine learning.

OBJECTIVE: To identify the dynamic evolution trajectory of health anxiety in patients with initial rabies exposure and to conduct predictive analysis ...

Build fair machine learning models to predict adverse outcomes for heart failure patients with preserved ejection fraction and with reduced ejection fraction.

OBJECTIVES: Develop and validate subtype-specific, fairness-aware machine learning (ML) models that integrate clinical and social determinants of heal...

Mechanically Durable Intrinsically Stretchable Neuromorphic Devices via Molecular Microstructure Design.

Intrinsically stretchable neuromorphic devices (ISNDs) have been widely investigated for intelligent wearable on-device computing. However, convention...

Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study.

BACKGROUND: Although machine learning has increasingly been used to predict mental health symptoms and maladaptive behaviors, real-world prediction of...

Formulation and stability design spaces for a new yellow fever vaccine.

Yellow fever (YF) is a life-threatening disease that is entirely preventable through vaccination. The objective of this study was to formulate a freez...

Knee-specific bone quality assessment for cementless total knee arthroplasty candidate selection: a narrative review.

Cementless total knee arthroplasty (TKA) has regained attention in younger, active, and obese patients, supported by advances in implant design, porou...