Prescriptions

Model-guided design of lymphatic drug delivery systems using osmotic pressure, viscosity and lymph node size.

Metastatic lymph nodes (LNs) represent a major barrier to effective drug delivery in cancer therapy. To address this challenge, a lymphatic drug delivery system (LDDS) enabling direct intranodal administration has been developed. In LDDS, drug transport and retention are governed by formulation osmotic pressure and viscosity; however, optimization strategies according to LN size and therapeutic ob...

Experiences and Perceived Influence of the Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study.

BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood glucose monitoring; however, maintaining these behaviors in daily life remains difficult for many patients. Artificial intelligence-enabled and mobile health interventions have shown promise in supporting diabetes education and self-management, but eviden...

Exploring human GABA transporter 3 binders for epilepsy through quantum reactivity analysis, molecular dynamics, machine learning prediction, and network pharmacology.

CONTEXT: Drug-resistant epilepsy (DRE) remains a major therapeutic challenge, affecting millions of patients globally who do not respond to convention...

Public Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study.

BACKGROUND: Regulation of artificial intelligence (AI) has been slow relative to the pace of its integration into health care. Several AI diagnostic t...

CT-based radiomic markers to predict late-onset seizures after traumatic brain injury.

Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but early risk prediction remains imprecise. Radiomic...

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models.

Flash floods represent one of the deadliest weather-related hazards globally, yet their prediction remains fundamentally challenged by extreme class i...

An engineering-informed voting ensemble framework for rapid seismic risk screening of reinforced concrete structures.

Rapid evaluation of existing building stocks is essential for reducing earthquake-related disaster risk, particularly in seismically vulnerable cities...

Are AI chatbots ready for chikungunya public education? Evidence on validity, reliability, and readability.

BACKGROUND: Chikungunya continues to expand geographically, driving demand for trustworthy, easy-to-read public guidance. Conversational AI systems ar...

The conditional indirect effect of perceived robot threat on employees' proactive behavior: the moderating role of human-robot interaction.

In the era of artificial intelligence, an increasing number of robots are entering the workplace as active contributors to organizational tasks. While...

Exploring the Bone-Vascular Axis: AI-Augmented Chest CT Analysis in COPD Highlights Association Between Vertebral Bone Density and Arterial Calcifications.

OBJECTIVES: Artificial intelligence (AI) tools enable automated assessment of vertebral bone mineral density (BMD), coronary artery calcification (CAC...

Expert Evaluation and Consensus on GPT-4o Summaries of Clinical Letters: Validation and Results of the Framework and Implementation of AI Tools Project.

BACKGROUND: Large language models (LLMs) are increasingly used to summarize clinical documents; yet, automated metrics often inadequately capture clin...

AI-Based Automation for Medication Reconciliation: Scoping Review.

BACKGROUND: Medication reconciliation (MedRec) has the potential to improve patient safety by enhancing the continuity of medication information acros...

Computational neuroelectrophysiology and artificial intelligence for drug-resistant epilepsy: Recent advances, current challenges, and future directions.

Drug-resistant epilepsy (DRE) affects approximately 30% of epilepsy patients, with surgical cure rates below 70%. This challenge drives a fundamental ...

Intravenous extravasation report generation using deep learning, generative artificial intelligence, and visual question answering techniques.

Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances...

Dynamic analysis for employment substitution effect of robots fused with deep learning models and artificial intelligence.

The purpose of this study is to address the problem of separation between temporal dynamics and network structure in analyzing the employment substitu...

Deep learning-based automatic field of view planning for prostate MRI in oblique coronal and oblique axial planes.

Accurate field-of-view (FoV) prescription in oblique coronal and axial planes is essential for high-quality prostate MRI but remains operator-dependen...

A Review on Artificial Intelligence in Pharmaceutical Sciences: Opportunities & Challenges.

SignificanceThe review aims to systematically explore the transformative impact of artificial intelligence (AI) on pharmaceutical sciences. It Address...

GATA3 mediates the cardioprotective effect of hydroxysafflor yellow a against septic cardiomyopathy: insights from integrated machine learning, WGCNA, and experimental validation.

UNLABELLED: Sepsis-induced cardiomyopathy represents a life-threatening complication arising from severe sepsis and septic shock. Hydroxysafflor yello...

Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas.

The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant chall...

Occupational and socioeconomic predictors of myocardial infarction and coronary heart disease: a machine learning analysis.

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. Although traditional cardiovascular risk models...