Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 11,641 to 11,650 of 210,187 articles

Artificial intelligence in cancer diagnosis and therapy using sex and gender as precision biomarkers.

Discover oncology
Sex and gender represent critical yet underutilized precision biomarkers in oncology, influencing cancer incidence, progression, treatment response, and survival outcomes. Biological sex, characterized by chromosomal, hormonal, and anatomical factors... read more 

Mapping AI regulation in health care with the Health & AI Policy Index.

NPJ digital medicine
Artificial intelligence (AI) policy for health care is expanding in a fragmented landscape. In a January 1, 2026 snapshot of the Health & AI Policy Index (240 policies), we find that transparency-oriented advisory instruments dominate, equity and saf... read more 

ADMET-vault: an interactive framework for real-time ADMET prediction and molecular optimization.

Journal of computer-aided molecular design
Drug discovery pipelines face persistent challenges, as candidates that show promising results in early laboratory studies are found ineffective in clinical trials-often because their absorption, distribution, metabolism, excretion, and toxicity (ADM... read more 

An analysis of the influence of perceptual dimensions in biomimetic packaging design on generation Z consumers' flow experiences using PLS-SEM, ANN, and fsQCA.

Scientific reports
Physical packaging has evolved into a central medium for deep interaction between brands and consumers. While biomimetic design offers cross-disciplinary inspiration for product innovation, there remains a lack of systematic analysis-beyond linear re... read more 

Transcriptional states define dependencies and therapeutic vulnerabilities in head and neck cancer.

NPJ precision oncology
Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet existing subtype frameworks remain largely descriptive and have not translated into therapeutic decision-making. Here, we establish a mechanistic platfor... read more 

Structure-based machine learning model for discovering pregnane X receptor (PXR) agonists and biological activity validation.

Archives of toxicology
Pregnane X receptor (PXR), a nuclear receptor superfamily member, maintains bile acid homeostasis by regulating metabolic enzymes [e.g., cytochrome P450 3A4 (CYP3A4), uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1)] and multidrug resistance ... read more 

Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.

Renal failure
Acute kidney injury (AKI) is a severe and frequent complication following bee stings, with a reported incidence of 30-50%. Early identification is clinically challenging due to the delayed rise in serum creatinine. This retrospective study aimed to d... read more 

Association between neutrophil percentage to albumin ratio and mortality in takotsubo syndrome patients: analysis of the MIMIC-IV database.

BMC cardiovascular disorders
BACKGROUND: This study investigates the association between the neutrophil percentage-to-albumin ratio (NPAR) and mortality in takotsubo syndrome (TS) patients. METHODS: We conducted a retrospective cohort study using data from the MIMIC-IV version 3... read more 

Comparative evaluation of information quality, readability, and guideline consistency of large language model-generated educational content on hemodialysis complications: a cross-sectional assessment of generative AI-driven chatbots.

BMC nephrology
BACKGROUND: Large language models are increasingly becoming a key resource for hemodialysis patients to access information on disease management. However, the information reliability, readability, and guideline concordance of LLM-generated hemodialys... read more 

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BMC infectious diseases
BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes have been shown to be associated with various viral infections, including influenza virus infections... read more