Prescriptions

Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach.

OBJECTIVES: Modern dental implants have high long-term survival, but peri-implant marginal bone loss remains a multifactorial cause of implant failure and often is radiographically occult. Cone-beam computed tomography (CBCT) provides superior 3D assessment but produces large datasets requiring expert interpretation. Deep-learning object-detection models like YOLOv8 may automate detection and grad...

Automated Detection and Risk-Related Behavior Recognition of Long-Tailed Macaques in a University Campus Area Using CNN-Based Object Detection.

BACKGROUND: Increasing interface zones between long-tailed macaques (Macaca fascicularis) and humans can increase macaques' risk-related behaviors to human safety because of their aggressiveness. In addition, risk to human properties and the environment can occur when they play or search for food and other stuff on vehicles and take trash out from trash bins to find edible items. OBJECTIVE: This s...

Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised XGBoost Models at the Initial Outpatient Hepatology Visit.

BACKGROUND AND AIMS: Hepatic decompensation represents a critical transition in cirrhosis, leading to increased morbidity, mortality and healthcare ut...

Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta-Analysis.

OBJECTIVES: 3D segmentation of the upper airway is crucial for dental and medical practices. However, it is a difficult and daunting task. Like almost...

Young Adults' Needs in Social Robot Assisted Medication Counselling: Applying Peplau's Interpersonal Relations Model.

The integration of robots into healthcare is an advancing field, with potential to enhance patient care, for example in medication counselling. Peplau...

Has AI Reshaped Drug Discovery, or Is There Still a Long Way to Go?

The conventional drug discovery pipeline is labour-intensive, time-consuming, and costly, involving target identification, hit discovery, lead optimiz...

DILIConsult: A Multi-Agent Large Language Model Framework for Evaluating Drug-Induced Liver Injury in ICU Settings.

BACKGROUND: Large language models (LLMs) can support clinical decision-making by parsing databases and extracting relevant information. However, evalu...

A Numerical Approach to Brace Treatment Prediction by Comprehensive Biomechanical Modeling of Adolescent Idiopathic Scoliosis.

Adolescent idiopathic scoliosis (AIS) requires effective and personalized brace treatment strategies to prevent progression and the potential need for...

Blueprint for Drug Repurposing Success: Foundational Concepts and Practical Framework.

Drug repurposing involves identifying new therapeutic applications for existing clinically evaluated compounds. In contrast to conventional drug devel...

AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identificatio...

Technical challenges and quality considerations for dissolving microneedles.

Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon skin insertion. While DMNs show potential for trans...

Prompting Progress: Using Generative Artificial Intelligence to Enhance Nursing Students' Understanding of Social Determinants of Health.

BACKGROUND: Generative artificial intelligence (GAI) addresses gaps in nursing curricula regarding social determinants of health (SDOH) by offering in...

Early Versus Delayed Anticoagulation in Acute Ischaemic Stroke with Atrial Fibrillation According to Infarct Volume and Location: a Prespecified Subgroup Analysis of the OPTIMAS Randomised Controlled Trial.

BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-i...

Adaptive Feature Selection With Hierarchical Learning for Drug-Target Interaction Prediction.

Accurate prediction of drug-target interactions (DTIs) is essential for drug discovery and repurposing. Although deep learning has driven substantial ...

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for evaluating treatment effectiveness and outcomes resea...

Evaluating ChatGPT's advice and recommendations regarding exercise for people with inclusion body myositis.

The use of Large Language Models for exercise prescription in the general population has been shown to be safe and effective but not comprehensive com...

Evolution of Aptamer Materials Maps Exosomal Surface Proteins at the Nano-Bio Interface.

Exosomes are nanoscale extracellular vesicles whose membrane-embedded proteins encode phenotypic information but remain difficult to interrogate due t...

Comparative Mortality Risk of Aripiprazole, Olanzapine, Quetiapine, and Risperidone in Alzheimer's Disease: A Real‑World Retrospective Cohort Study with Treatment Effect Heterogeneity Analysis.

BACKGROUND: Second-generation antipsychotics (SGAs) are frequently used off-label to manage behavioral symptoms in Alzheimer's disease (AD), despite o...

Multi-omics and machine learning reveal a critical mediator of PRKCA in quercetin-mediated protection against Sarcopenia.

BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavon...

Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching.

Despite the potential of vision-language models for open-vocabulary recognition, their deployment in remote sensing is limited by the limited effectiv...