Devices and Vaccines

Digital Implant Dentistry: The Past, the Present, the Future.

Digital implant dentistry has evolved from the analogue fundamentals of osseointegration to a highly data-driven discipline that integrates advanced imaging, virtual planning, guided surgery, and computer-aided prosthetics. The past was characterized by two-dimensional diagnostics, freehand implant placement, and conventional impressions, which-despite their limitations-enabled pioneering therapeu...

Interpretable machine learning model of contrast-enhanced CT radiomics for predicting post-BCG recurrence in high-grade non-muscle-invasive bladder cancer.

BACKGROUND AND PURPOSE: While intravesical Bacillus Calmette-Guérin Vaccine (BCG) instillation remains standard adjuvant therapy for high-grade non-muscle-invasive bladder cancer (NMIBC) post-resection, marked interpatient response heterogeneity complicates recurrence prediction. This study develops a contrast-enhanced computed tomography (CT) radiomics-based machine learning model to quantify tum...

Comparing the Performance of Conversational Artificial Intelligence Models in Answering Patient Questions About Dental Implants.

OBJECTIVE: In this study, the aim was to compare three widely used AI-based chatbots, ChatGPT-4.5, DeepSeek, and Claude Sonnet 3.7. This study investi...

Surface Mounted Metal-Organic Frameworks for Advanced Sensing: Construction Strategies, Recent Applications, and Emerging Opportunities With Artificial Intelligence.

Sensors play a vital role in modern production and daily life, where high sensitivity, selectivity, and device integration are increasingly required. ...

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wear...

Prediction of Acromial and Scapular Spine Fractures After Reverse Total Shoulder Arthroplasty using Machine Learning: A Retrospective Cohort Study.

BACKGROUND: Acromial and scapular spine fractures (ASSF) are an uncommon but significant complication following reverse total shoulder arthroplasty (r...

Research progress on debridement, antibiotics, and implant retention (DAIR) for the treatment of periprosthetic joint infection after artificial joint replacement.

Periprosthetic joint infection (PJI) is one of the most serious complications following artificial joint replacement, posing significant treatment cha...

Technical and clinical feasibility of single-use gastroscopy with real-time AI-based quality monitoring and single-use colonoscopy: a prospective two-center study.

BACKGROUND: Single-use gastrointestinal endoscopes eliminate the need for post-procedure reprocessing and have become an area of interest in endoscopi...

[Digital-intelligent workflow for full-arch implant fixed prosthodontics].

Full-arch implant rehabilitation faces core challenges: insufficient impression accuracy, difficulty in precise jaw relation transfer, deviations betw...

Performance of the Pre-Eclampsia Integrated Estimate of Risk-Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pre-eclampsia- a retrospective test derivation validation study.

OBJECTIVE: Pre-eclampsia is a cause of significant maternal morbidity and mortality, with delivery initiating resolution. The Pre-eclampsia Integrated...

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

MOTIVATION: Accurate prediction of adverse drug reactions (ADRs) is essential for drug safety surveillance, and recent advances in machine learning wi...

Membrane protein solubilization and structure determination using de novo-designed proteins.

Developing therapies and vaccines against integral membrane proteins is hindered by their extensive hydrophobic surfaces, which complicate production ...

Light polarization-based electro-optic memory.

The integration of light polarization into non-volatile memory enables angle-resolved information processing, unlocking new photonic channels for comm...

Artificial intelligence-guided and first-principles design and optimization of Rb₂YAgX₆ (X = F, Cl) double perovskite photodetectors.

Halides perovskites of lead have already shown very good optoelectronic behavior, but because of their toxicity and environmental issues, lead-free ma...

HyperDC: A Non-Uniform Hypergraph Framework for Dual- and Higher-Order Drug Combination Recommendation Across Diverse Complex Diseases.

Complex diseases are commonly characterized by dysregulation across multiple targets and pathways, making drug combinations an important therapeutic s...

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BACKGROUND: Gestational anemia significantly elevates the risk of adverse maternal and neonatal outcomes, necessitating early predictive tools for tar...

Explainable and Optimized Gradient Boosting Algorithms for Near-Real-Time Prediction of Cyanobacterial Alert Levels in Freshwater Systems.

Harmful cyanobacterial blooms (HABs) pose serious risks to freshwater ecosystems, drinking water supplies, and public health, highlighting the need fo...

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

BACKGROUND: Scoliosis is a spinal disorder characterized by a three-dimensional (3D) deformity of the vertebral column. 3D ultrasound imaging has been...

Impact of feature engineering on predicting non-contact football injuries.

Non-contact injuries in professional football impose significant performance and economic burdens, yet the influence of workload feature representatio...

Paired CycleGAN-based virtual staining for 3D X-ray histology of bone-implant systems.

Three-dimensional X-ray histology offers a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues wi...