Latest AI and machine learning research in domestic violence for healthcare professionals.
The tumor microenvironment plays a critical role in tumor progression and immune response, with the ...
To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...
Diabetes mellitus, particularly type 2 diabetes (T2DM), is a major global health challenge character...
BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, ...
Acute dermal toxicity testing is essential for assessing the safety of chemicals used in pharmaceuti...
OBJECTIVES: This study aimed to systematically map the development methods, scope, and limitations o...
This study evaluates the accuracy of ChatGPT in generating chromosomal representations (formulas) ba...
Caenorhabditis elegans is a widely used animal model for researching new disease treatments. In rece...
Identification of environmentally friendly gaseous dielectrics to replace the most potent greenhouse...
BackgroundThe global burden of Alzheimer's disease and related dementias is rapidly increasing, part...
RATIONALE AND OBJECTIVES: Large language models (LLMs) show promise in radiology through various cli...
Thyroid disorders are among the most prevalent endocrine conditions worldwide, exhibiting a rising i...
BACKGROUND: Endometriosis is prevalent in approximately 6-10% of all women of reproductive age and i...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder lacking effective therapies. Gl...
Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...
Methicillin-resistant (MRSA) is a major cause of healthcare-associated infections including bactere...
Synthetic chemicals are intensively utilized in modern societies, and their mixtures pose significan...
Age-related diseases and syndromes result in poor quality of life and adverse outcomes, representing...
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive pulmonary disease character...
PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of ...
OBJECTIVE: To test the performance of a DL model developed and validated for screen-detected pulmona...