Latest AI and machine learning research in alternative medicine for healthcare professionals.
BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorders characterized by distinct pathological mechanisms, anatomical targets, and therapeutic requirements. Although arthritis is not primarily a pharmacokinetic disorder, several pharmacokinetic and delivery barriers can limit treatment. These include rapid synovial-fluid turnover, vascular and lymphat...
Microbiome-metabolome interactions are emerging as promising predictors of infectious disease, beyond conventional pathogen detection. Growing evidence shows that microbial dysbiosis, altered microbial-derived metabolites, and host metabolic reprogramming are associated with disease severity, immune dysfunction, treatment response, and mortality across infectious diseases. High-throughput sequenci...
BACKGROUND: Vascular calcification (VC) is a life-threatening complication of chronic kidney disease (CKD) driven by vascular smooth muscle cell (VSMC...
Accurate triage is vital in emergency departments, where misidentification delays care, increases morbidity and mortality, and strains resources, part...
BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...
Programmed death-ligand 1 (PD-L1) expression, commonly quantified as tumour proportion score (TPS), is a key biomarker guiding immunotherapy in non-sm...
OBJECTIVES: Preoperative prediction of perineural invasion (PNI) in rectal cancer (RC) is challenging due to limited MRI resolution and the neglect of...
Clinical reasoning and differential diagnosis are core competencies in medicine. Large language models (LLMs) have generated considerable interest as ...
Sauropod teeth are often described within a taxonomic framework, with few studies focusing on heterodonty or intraspecific morphological variation. Th...
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by...
Heat exposure drives substantial global disease and mortality burdens, making spatially explicit heat health risk assessment essential for targeted ad...
Accurate determination of human epidermal growth factor receptor 2 (HER2) gene amplification is a cornerstone of precision oncology in breast cancer a...
Objective.Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) provide complementary temporal and spatial information for br...
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine...
The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its manageme...
Precision medicine seeks to individualise care by integrating multimodal biomedical data, yet most deployed clinical artificial intelligence (AI) rema...
Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...
The microplastic (MPs) pollution, especially in the oceans, has a direct impact on seafood products, particularly sea salt. This is a growing concern ...
BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of premature mortality worldwide by 2050. Simultaneously, ad...
BACKGROUND: Artificial intelligence (AI) in health care is typically evaluated on efficiency, predictive accuracy, and clinical decision support. Far ...