Devices and Vaccines

Advances in melanoma immunotherapy: harnessing vaccination as a potential novel immunotherapeutic strategy.

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to improve patient outcomes. This review explores recent advances in melanoma immunotherapy, with a particular focus on vaccination as a promising approach. It examines diverse vaccine platforms aimed at eliciting robust immune responses against melanoma-specific antigens, emphasizing the role of adjuvants...

3D tibial HU reconstruction from biplanar X-rays utilizing a hybrid PCA-CNN framework.

High-resolution Computed Tomography (CT) is the gold standard medical imaging technique for bone assessment. However, its clinical use is limited by high radiation dose (8.8 mSv; biplanar X-rays 1.4 mSv), cost, and reduced accessibility. These barriers are particularly significant for patients requiring frequent imaging. This study introduces a novel hybrid framework combining statistical intensit...

A BMC-Net model for the recognition and segmentation of mandibular canal bifurcation.

OBJECTIVES: To accurately identify the anatomical structure and trajectory of the mandibular canal, helping dentists avoid surgical risks and develop ...

Noninvasive real-time dynamic monitoring of white blood cells based on microscopic imaging and deep learning.

BACKGROUND AND OBJECTIVE: White blood cells (WBCs) are key biomarkers of immune status, but current monitoring still relies on intermittent blood samp...

An Artificial Intelligence-Based Prognostic Model for Prediction of Functional Glaucoma Progression From Clinical and Structural Data.

PURPOSE: Integration of various sources of information for prediction of disease progression is an unmet need in glaucoma diagnostics. We designed a d...

Machine Learning-Guided Discovery of Sterically Protected High Triplet Exciplex Hosts for Ultra-Bright Green OLEDs.

Machine learning (ML) has been widely used to accelerate the discovery of organic light-emitting diode (OLED) materials, but its application to improv...

Automating wound assessment: convolutional neural network-based mobile application for SINBAD classification system.

INTRODUCTION: Diabetic foot ulcer (DFU) assessment using the SINBAD system is essential for clinical decision-making but often limited by access to sp...

Deep‑learning‑based detection of open‑apex teeth on panoramic radiographs using YOLO models.

OBJECTIVES: The use of deep learning in detecting teeth with open apices can prevent the need for additional radiographs for patients. The presented s...

Utilizing data mining to improve asthma control in children: a study on influential factors.

OBJECTIVE: To identify the most influential features of asthma control in children and to assess whether feature selection improves model performance....

Bioinspired High-Performance Neuromorphic Devices Enabled by Thienoviologen-Based Electrochemical Ion Gating.

Neuromorphic computing is a bioinspired paradigm that emulates the structure and functionality of biological neural networks, demanding cutting-edge m...

Contemporary Applications of Robotic Systems in Dental Implantology: A Review.

The integration of robotics into dental implantology represents a transformative shift towards enhanced surgical precision, consistency, and reproduci...

Integrating AI-driven technologies and facial-semantic features for depression detection: A cross-sectional study.

BACKGROUND: Depression is a major global health concern, still individuals with depressive tendencies remain undetected in outpatient settings due to ...

Efficient medical NER with limited data: Enhancing LLM performance through annotation guidelines.

BACKGROUND: Named entity recognition (NER) is critical in natural language processing (NLP), particularly in the medical field, where accurate identif...

Time-resolved prediction of dental implant biomechanics through integration of finite element analysis, osseointegration dynamics, and deep learning.

BACKGROUND: Dental implant longevity depends on the complex interaction between mechanical stability and biological osseointegration. While finite ele...

ProSocial Artificial Intelligence in Oral and Maxillofacial Imaging, Pathology, and Laboratory Applications.

Artificial intelligence (AI) revolutionizes dentistry, enhancing diagnostic accuracy, treatment planning, and collaboration. This article examines AI'...

Development of a deep learning classification model using a codeless platform for orthodontic extraction decision-making: Impact of image type on model performance.

OBJECTIVES: To evaluate the effect of image type on the performance of a deep learning classification model for decision-making in orthodontic treatme...

Synthetic computed tomography from magnetic resonance imaging: An editorial on deep learning approaches for hip and knee image translation.

This editorial provides a concise overview of synthetic computed tomography (CT) generation from magnetic resonance imaging (MRI) for musculoskeletal ...

Generative artificial intelligence provides accurate case selection in veterinary retrospective studies.

OBJECTIVE: To evaluate the agreement of automation tools with expert evaluators in identifying cases meeting inclusion and exclusion criteria for retr...

Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Although stabilization is the primary management for s...

Comparative analysis of SUMO and his-tag fusion for soluble expression of the SARS-CoV-2 omicron RBD in E. coli.

The soluble expression of the SARS-CoV-2 Receptor-Binding Domain (RBD) is fundamental for manufacturing protein-based countermeasures. Although E. col...