Artificial Intelligence Medical Compendium

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

Showing 68,101 to 68,110 of 233,231 articles

Exploiting colloidal drug aggregation for drug delivery: From promise to prediction using computational tools.

Advanced drug delivery reviews
Colloidal drug aggregates are amorphous nanoparticles formed by the self-assembly of hydrophobic small molecule drugs. They can be leveraged as drug-rich nanoparticle formulations for drug delivery. However, it is difficult to predict which drugs wil... read more 

Biosecurity practices useful for porcine reproductive and respiratory syndrome control and eradication on commercial swine farms using machine learning models.

Preventive veterinary medicine
It is well known that porcine reproductive and respiratory syndrome (PRRS) decreases herd productivity and leads to economic loss, and it is believed that biosecurity practices are effective for the control and eradication of PRRS. This study aimed t... read more 

AI-powered literature mining reveals the therapeutic significance of GLP-1 receptor: Simulation of natural agonist candidates based on molecular dynamics.

Computational biology and chemistry
Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has emerged as a clinically validated target for the treatment of type 2 diabetes and obesity. In this study, we present a comprehensive AI-integrated drug d... read more 

Enzyme-based biosensors: emerging tools for advanced biomedical applications.

Talanta
Proteins and enzymes are fundamental elements for the correct regulation of cell metabolism and their dysregulation or malfunction can lead to the onset of several pathologies. Altered enzymes can participate in tumour formation and progression, but ... read more 

Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system-specific carcinogenicity prediction.

Environmental pollution (Barking, Essex : 1987)
Accurate identification of carcinogenic hazards is essential for public health protection, yet traditional animal-based assays are time-consuming, expensive, and ethically challenging. Many existing quantitative structure-activity relationship (QSAR)... read more 

Development of a deep learning classification model using a codeless platform for orthodontic extraction decision-making: Impact of image type on model performance.

Journal of dentistry
OBJECTIVES: To evaluate the effect of image type on the performance of a deep learning classification model for decision-making in orthodontic treatment planning, and to investigate the clinical applicability of artificial intelligence in determining... read more 

Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms.

Journal of affective disorders
BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (HPA) axis dysregulation and may reveal novel therapeutic targets. However, most existing studies focus narrowly on glucocorticoids. This study aims to... read more 

Application value of prostate-specific antigen density combined with multiparametric MRI in early diagnosis of prostate cancer.

Magnetic resonance imaging
BACKGROUND: Diagnosis of prostate cancer in the PSA gray zone (4-10 ng/mL) and PI-RADS 3 cases remains challenging. Although multiparametric MRI (mpMRI) is widely used, its diagnostic accuracy is limited by inter-reader variability and the lack of in... read more 

Machine learning-driven optimization of metabolic balance for β-carotene production.

Metabolic engineering
Balancing metabolic pathways is critical for engineering microbial platforms to efficiently and robustly synthesize value-added bioproducts. In the oleaginous yeast Yarrowia lipolytica engineered for β-carotene production, lipid synthesis supports ca... read more 

Deep learning discriminates thymic epithelial tumors' histological subtypes using digital pathology.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Thymic epithelial tumors (TETs) are rare malignancies that pose significant diagnostic challenges due to their heterogeneous histological patterns and substantial interobserver variability in classification. Despite standardized World Hea... read more