Clinical Trials

AI integration and workforce development: Exploring job autonomy and creative self-efficacy in a global context.

This paper explores the relationship between Artificial Intelligence (AI) integration in the workplace, cultural orientation, and its impact on job autonomy and creative self-efficacy. Our study employs a mixed-method experimental design across 480 individuals from different cultural backgrounds, specifically individualistic (United Kingdom) and collectivistic (Mexico) cultures. We evaluate how th...

Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-Informed Machine Learning.

The safety of inorganic nanoparticles (NPs) remains a critical challenge for their clinical translation. To address this, we developed a machine learning (ML) framework that predicts NP toxicity both and , leveraging physicochemical properties and experimental conditions. A curated cytotoxicity dataset was used to train and validate binary classification models, with top-performing models underg...

Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review.

Model-informed drug development (MIDD) methods play critical role to ensure development of efficacious, and safe individualized therapies. The applica...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indica...

A Systematic Review of Clinical Trial Designs and Outcome Measures in Sjögren Disease Randomized Controlled Trials.

OBJECTIVE: To systematically review all existing Sjögren disease (SjD)-related instruments reported in clinical trials for SjD.

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge ab...

The Effects of Robot-Assisted Therapy on Upper Extremity Functions and Functional Independence in Geriatric Individuals With Chronic Stroke: A Randomized Controlled Study.

AimStroke often leads to impaired motor functions, particularly in upper extremities, making functional recovery essential for quality of life and ind...

Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions.

This study proposes a novel framework based on an entropy-informed graph neural network (EIGNN) integrated with Gaussian distribution (GD) to assess t...

Parallel Multistep Evaluation With Efficient Data Utilization for Safe Neural Critic Control and Its Application to Orbital Maneuver Systems.

Data-driven methods have significantly advanced optimal learning control, but some approaches overlook systematic considerations of data utilization, ...

Is This Chatbot Safe and Evidence-Based? A Call for the Critical Evaluation of Generative AI Mental Health Chatbots.

The proliferation of artificial intelligence (AI)-based mental health chatbots, such as those on platforms like OpenAI's GPT Store and Character. AI, ...

A Review of Software in Clinical Trials: FDA Regulatory Frameworks and Addressing Challenges.

An essential tool for assessing the efficacy and safety of novel therapies and interventions is the clinical trial. They are crucial for understanding...

Multifunctional Hydrogen-Bonded Organic Frameworks for Intelligent Anti-Counterfeiting and Food Safety Monitoring.

In an era of increasing digital threats and product counterfeiting, this study introduces MA-IPA@NPA, a groundbreaking hydrogen-bonded organic framewo...

Surgery without distance: will 5G-based robot-assisted telesurgery redefine modern surgery?

The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote surgery, offering the potential to overcome geographi...

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinating lesions in the central nervous system. Cross-sectional measur...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antihypertensive therapy based on genetic profiles. Des...

Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges.

Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable energy systems and portable electronic devices, tha...

Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.

BACKGROUND: Although evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment characteristics associated with differential improv...

Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation.

BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regarding bias, fairness, and ethical decision-making, p...

Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course.

INTRODUCTION: Identifying older drivers at risk of critical decline in driving safety performance (DSP) is essential for traffic safety. Regional cere...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annually. Finding meaningful interventions based upon ...