Artificial Intelligence Medical Compendium

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

Showing 11,371 to 11,380 of 209,934 articles

Integrating single-cell and bulk transcriptomic analyses to explore key lactylation-related genes in benign prostatic hyperplasia.

Scientific reports May 25, 2026
Benign prostatic hyperplasia (BPH) is a prevalent age-related disorder characterized by chronic inflammation, metabolic dysregulation, and abnormal cellular proliferation. Protein lactylation, an emerging post-translational modification closely assoc... read more 

Electrical discharge machining of Ti6Al4V in deionized water: surface integrity and wear response for medical applications.

Scientific reports May 25, 2026
Titanium alloys are widely used in medical applications, particularly in dentistry and orthopedics, due to their biocompatibility, corrosion resistance, and low density. Electrical Discharge Machining (EDM) offers an effective method for producing mi... read more 

Comparative analysis of support vector machines, artificial neural network, random forest and gradient boosting for predictive maintenance in mining machinery and equipment: a case study of Chadormalu Iron Ore Mine.

Scientific reports May 25, 2026
The detection and prediction of the condition of machinery and transportation systems in the mining industry are of critical importance due to their direct impact on productivity, maintenance cost reduction, and operational safety. Given the high cos... read more 

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

Discover oncology May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 May 25, 2026
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 
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