Latest AI and machine learning research in clinical trials for healthcare professionals.
Breast cancer is a biologically heterogeneous disease in which tumor-intrinsic diversity and the tumor immune microenvironment jointly shape therapeutic resistance and variable clinical outcomes. Although nanomedicine has improved the safety and pharmacokinetic profiles of several anticancer agents, clinically approved nanocarriers have produced limited efficacy gains, partly because of heterogene...
Machine learning force fields (MLFFs) have emerged as powerful data-driven tools for atomistic simulations, enabling large-scale and complex atomic systems to be simulated with accuracy comparable to that of ab initio methods. However, MLFFs often suffer from low training efficiency in the phase transition regime, where structural fluctuations are significantly elevated. To address this challenge,...
Drawing on Social Cognitive Theory (SCT), this study examines how Generative Artificial Intelligence (GAI) use is associated with employee creative th...
The dynamics of tumor-immune interactions within a complex tumor microenvironment are typically modeled using a system of ordinary differential equati...
BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. ...
PURPOSE: Generative artificial intelligence (AI), particularly large language models (LLMs), are increasingly utilised in healthcare. While this may r...
OBJECTIVES: Early detection and resection of colorectal polyps prevent their progression toward advanced adenocarcinomas. The use of Texture and Color...
Accurate soleus (SOL) activation assessment is essential for Achilles tendon rupture (ATR) recovery, yet direct measurement remains a clinical challen...
PURPOSE: The ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT) improves overall survival (OS) in metastatic horm...
BACKGROUND: Effective communication about breast and cervical cancers remains a public health challenge, with widespread misinformation and barriers t...
BACKGROUND: Most US health systems operate on a local or regional scale and face substantial financial and staffing pressures, which are intensified b...
Carbon quantum dots (CQDs) have emerged as promising photoluminescent nanomaterials for food safety monitoring owing to their tunable optical properti...
Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...
Generative artificial intelligence (gen AI) can support and likely enhance clinical reasoning coaching for struggling medical learners when its use is...
BACKGROUND: To map the evolution, knowledge structure, and emerging directions of clinical risk management (CRM) and patient-safety research by contra...
OBJECTIVE: Glioblastoma (GBM) is the most aggressive type of intracranial malignant tumor, known for its extremely poor prognosis. Lactylation, a newl...
Personal health large language models (PH-LLMs) are patient-facing conversational systems that synthesize user-entered information, patient-generated ...
AIMS/HYPOTHESIS: Hybrid closed-loop insulin delivery systems are increasingly regarded as the preferred therapy for type 1 diabetes, although evidence...
INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...
INTRODUCTION: The efficacy of guideline-directed medical therapy (GDMT) for heart failure has been established in clinical trials, but trial populatio...