Artificial Intelligence Medical Compendium

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

Showing 36,191 to 36,200 of 223,137 articles

Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.

Dermatology and therapy
Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) radiation, air pollution, psychosocial stress, fatigue, sleep disruption, and suboptimal lifestyle beha... read more 

ProVenTL: a transfer-learning framework for predicting peptide-protein interactions derived from snake venom for cancer therapeutics.

Journal of computer-aided molecular design
Accurate prediction of peptide-protein interactions (PepPI) is crucial for advancing peptide-based anticancer drug design. In this study, we introduce ProVenTL, a computer-aided molecular design framework that leverages transfer learning and protein ... read more 

Modeling and optimization of methylene blue adsorption on biochar via artificial neural network (ANN).

Biodegradation
This study investigates the adsorption of methylene blue (MB) from aqueous solution using citrus peel biochar (CPB) and develops a predictive modeling framework based on Artificial Neural Networks (ANN) for process optimization. CPB was prepared by c... read more 

Advancing diagnostic biomarkers in Alzheimer's disease: interdisciplinary innovations and technological frontiers.

Human cell
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdisciplinary research and technical advancement. This comprehensive analysis investigates potential options for improving diagnostic accuracy and early detec... read more 

Environmental geochemical and machine learning assessment of heavy metal(loid)s sources and risks in urban river-canal sediments of the Saigon system.

Environmental geochemistry and health
In tropical megacities undergoing rapid industrialization, comprehensive assessments of seasonal variability in heavy metal(loid)s sources and ecological risks in river-canal sediments remain limited, particularly in Southeast Asian urban systems. Ur... read more 

Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence.

Breast cancer research and treatment
PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identification of records in large datasets. The purpose of this study was to evaluate the feasibility of NLP in identifying breast cancer-associated lung metast... read more 

Individualized treatment strategies and long-term prognosis of congenital hydrocephalus: an integrated analysis based on multicenter retrospective data and machine learning.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
INTRODUCTION: Hydrocephalus is a common pediatric neurological disorder characterized by abnormal head enlargement, intellectual disability, visual impairment, and death. OBJECTIVE: To compare the short- and long-term efficacy of ventriculoperitoneal... read more