Devices and Vaccines

AI-Optimized 3D-Printed Dual-Layer Implant: Resolving Chemo-Immunotherapy Sequential Administration Dilemma for Colorectal Cancer Peritoneal Metastasis.

The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy for enhancing therapeutic efficacy in cancer treatment. Chemotherapy initiates the therapeutic cascade by inducing immunogenic cell death (ICD), thereby releasing tumor antigens and prime immune sensitization. Subsequently, immunotherapy blocks immune evasion pathways, resulting in a coordinated re...

Automated scoliosis X-ray cobb angle classification: a deep learning approach with RadImageNet.

STUDY DESIGN: Retrospective Cohort Study OBJECTIVE: Biplanar full-body X-ray imaging is a low-dose, high-resolution technology crucial for assessing scoliosis and guiding treatment. Accurate coronal curvature measurement is essential for quantifying severity and planning surgery. Traditional methods are manual, time-consuming, and prone to interobserver variability. Deep learning offers potential ...

Comment on 'Automated detection of marginal bone loss levels in implant brands using deep learning on periapical radiographs'.

Predicting the Young's Modulus of biomedical titanium alloys using machine learning: a data-driven approach.

This study presents a machine learning framework for predicting the Young's Modulus (YM) of biomedical titanium alloys to address stress shielding in ...

An exploratory SMOTE-SVM approach for identifying preoperative biomechanical risk factors driving early toric intraocular lens micro-rotation in extremely imbalanced cohorts.

The predictive modeling of postoperative mechanical complications, such as the early micro-rotation of premium toric intraocular lenses (IOLs), is sev...

Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.

Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, disproportionately affecting populations in low-inco...

Emerging Novel SARS-CoV-2 Subvariants and the Advantages of AI-ML in Deciphering the Mutation Trends, Genomic Surveillance and Vaccine Development.

BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and NB.1.8.1 subvariants of JN.1. With Singapore, Hong...

A Multitask Learning framework for E-commerce time series analytics: Operational risk, demand forecasting, and anomaly detection.

The study presents MT-PyraRisk, a multi-task learning framework that integrates pyramidal attention mechanisms for cross-border e-commerce risk predic...

Practical regulatory guidance for researchers manufacturing customized 3D (three-dimensional) - printed medical devices.

INTRODUCTION: Often used interchangeably with 'additive manufacturing,' 3D printing involves creating a three-dimensional (3D) object from a digital m...

A predictive model for early neurological deterioration in medullary infarction based on explainable machine learning.

BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterioration (END) is a common adverse event that can sig...

Maxillary Anterior Horizontal Ridge Reconstruction using Computer-Guided Ridge Split and Expansion: A Randomized Clinical Trial with a 2-Year Follow-up.

OBJECTIVES: This randomized clinical study aimed to assess implant placement accuracy and radiographic outcomes of computer-guided versus freehand rid...

Predicting COVID-19 severity using machine learning: the role of clinical parameters, blood groups, and vaccination status across age groups.

OBJECTIVES: COVID-19 has had strong impacts on both global health systems and economies. Therefore, understanding disease severity and progression is ...

Bioactive Peptides for Oral Diseases: Biomaterial-Assisted Therapeutics and Translational Applications.

Dental caries, periodontitis, oral mucosal inflammation, peri-implant infections, and oral tissue defects remain major clinical burdens. Conventional ...

AI Meets Attitudes: Cross-Sectional Quantitative Study of COVID-19 Vaccine Hesitancy in Alaska's Diverse Communities.

BACKGROUND: The global COVID-19 vaccine rollout faces challenges from persistent hesitancy, especially in rural and underserved regions. Alaska's uniq...

Pangenome-guided immunoinformatics design and in silico characterization of a multi-epitope vaccine candidate against Acinetobacter baumannii with nanoparticle assembly potential.

Acinetobacter baumannii is a critical multidrug-resistant pathogen causing severe healthcare infections with high mortality, yet no licensed vaccine e...

Towards clinically reliable AI: comparative evaluation of CNN, transformer, and hybrid architectures for meningioma detection and segmentation.

Accurate and clinically reliable meningioma detection from brain MRI remains a critical challenge, requiring not only high predictive performance but ...

An online cutaneous melanoma risk screen tool.

To develop and deploy a publicly accessible online risk estimation tool for cutaneous melanoma that prioritizes high recall to minimize missed diagnos...

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms.

Medical intelligent question-answering (QA) systems have become important tools for improving the efficiency of healthcare services, and recent resear...

Automated detection of lumbar disc herniation at L4-L5 and L5-S1 levels on sagittal MRI using a YOLO-based deep learning model.

OBJECTIVE: To conduct a preliminary single-center feasibility study of a YOLO-based deep-learning model for automated detection of lumbar disc herniat...

LKCAU-Net: A Large Kernel Coordinated Attention U-Net for Breast Tumors Segmentation in Ultrasound Images.

Breast cancer remains a significant health concern for women worldwide. Ultrasound imaging is widely adopted for screening due to its non-invasive and...