Clinical Trials

Deep learning of multiplexed mitochondrial morphology identified natural compound combinations against skin photoaging.

BACKGROUND: Skin photoaging is primarily driven by mitochondrial dysfunction. Although natural products have demonstrated protective effects against Ultraviolet (UV)-induced damage, efficient screening strategies for mitochondrial-targeting compounds remain limited. Artificial Intelligence (AI)-assisted high-content screening strategy offers a valuable approach to identify bioactive candidates and...

AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.

BACKGROUND: Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is whether these tools are safe. The field currently lacks a validated, automated benchmark for determining AI chatbot safety in mental health, including fo...

Effect of artificial intelligence on nursing documentation and patient safety.

Nursing documentation is a fundamental component of safe clinical practice, supporting effective communication, continuity of care and patient safety....

The effectiveness of a plant-based milk with fermented brown rice on constipation symptoms via gut microbiota modulation: a double-blind randomized controlled trial.

PURPOSE: To evaluate the effects of a plant-based milk with fermented brown rice on constipation symptoms in patients with functional constipation and...

Leveraging Real-World Data for Clinical Decision Making in Geriatric Oncology.

Older adults represent most patients with cancer worldwide, yet they remain substantially underrepresented in randomized clinical trials (RCTs), limit...

Comparative Outcomes of a Pediatric Walking Rehabilitation Robot Combined With Repetitive Transcranial Magnetic Stimulation in Children With Spastic Cerebral Palsy: Protocol for a Prospective Observational Study.

BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

Is Nonpapillary Puncture a Feasible Alternative to Papillary Access in Percutaneous Nephrolithotomy? A Systematic Review and Meta-Analysis.

PURPOSE: Percutaneous nephrolithotomy (PCNL) is the gold standard for treating large and complex renal calculi, but puncture path selection (papillary...

Engineering smart polymeric lipid nanoparticles for breast cancer: AI-guided formulation design, biological barriers, and translational constraints.

Breast cancer is a biologically heterogeneous disease in which tumor-intrinsic diversity and the tumor immune microenvironment jointly shape therapeut...

Dataset distillation for machine learning force field in phase transition regime.

Machine learning force fields (MLFFs) have emerged as powerful data-driven tools for atomistic simulations, enabling large-scale and complex atomic sy...

Cognitive gains and addictive losses: The double-edged sword of Generative AI on employee creative thinking.

Drawing on Social Cognitive Theory (SCT), this study examines how Generative Artificial Intelligence (GAI) use is associated with employee creative th...

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

The dynamics of tumor-immune interactions within a complex tumor microenvironment are typically modeled using a system of ordinary differential equati...

Prompt sensitivity of large language models in orthodontic patient counseling: a scenario-based experimental study.

BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. ...

Using culturally responsive and sustaining course design to increase retention of underrepresented STEM undergraduates.

Undergraduate science courses are in urgent need of increased retention and recruitment of underrepresented minority (URM) college students. There is ...

Cross-scale biomimicry of resilin and resilin-like proteins: From phase separation and dityrosine photocrosslinking to tissue repair and soft robotic devices.

Resilin and resilin-like proteins (RLPs) provide a programmable platform for bioinspired soft materials that spans molecular design, condensate micros...

Promising performance of locally deployed large language models for postoperative orthopaedic patient questions: An In Silico analysis.

PURPOSE: Generative artificial intelligence (AI), particularly large language models (LLMs), are increasingly utilised in healthcare. While this may r...

The Addition of Computer-Aided Detection (CADe) to Texture and Color Enhancement Imaging (TXI) Does Not Improve Adenoma Detection Rate During Colonoscopy: A Prospective Study.

OBJECTIVES: Early detection and resection of colorectal polyps prevent their progression toward advanced adenocarcinomas. The use of Texture and Color...

A Physics-Informed Deep Learning Framework for Estimating Muscle Activation Patterns Following Achilles Tendon Repair.

Accurate soleus (SOL) activation assessment is essential for Achilles tendon rupture (ATR) recovery, yet direct measurement remains a clinical challen...

AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.

PURPOSE: The ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT) improves overall survival (OS) in metastatic horm...