Artificial Intelligence Medical Compendium

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

Showing 4,871 to 4,880 of 174,202 articles

Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis.

Neurology(R) neuroimmunology & neuroinflammation
BACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), neurodegeneration results from the interplay between disease-specific pathology and normal aging. Conventional MRI captures morphologic changes in neurodegeneration, while quantitative MRI (qMRI)... read more 

A Molecular Descriptor for Characterizing the Strength of Through-Space Conjugation for Luminescent Property in Organic Materials.

The journal of physical chemistry letters
Noncovalent through-space conjugation (TSC), a unique property of π-charge delocalization, has emerged as a powerful strategy for modulating the optoelectronic properties of organic materials. However, the quantitative relationship among the molecula... read more 

Machine Learning Integrating Surface Features and Crystal Similarity for Exploring 2D Materials.

The journal of physical chemistry letters
The property prediction of two-dimensional (2D) materials has been constrained to specific systems or the highly self-similar Computational 2D Materials Database (C2DB) due to limited data availability and inadequate feature extraction. These challen... read more 

Accelerating the Pace of Oxygen Evolution Reaction Catalyst Discovery through Megalibraries.

Journal of the American Chemical Society
Iridium (Ir) catalysts are essential for the acidic oxygen evolution reaction (OER) in proton-exchange membrane water electrolyzers (PEMWEs), but their high cost, scarcity, and geographical concentration limit large-scale adoption. In addition, the d... read more 

Efficient neural encoding as revealed by bilingualism.

Proceedings of the National Academy of Sciences of the United States of America
The remarkable human capacity for bilingual and multilingual acquisition raises fundamental questions about how the brain develops efficient systems for processing multiple languages. In this study, we used neural network models trained on natural sp... read more 

Sparse autoencoders uncover biologically interpretable features in protein language model representations.

Proceedings of the National Academy of Sciences of the United States of America
Foundation models in biology-particularly protein language models (PLMs)-have enabled ground-breaking predictions in protein structure, function, and beyond. However, the "black-box" nature of these representations limits transparency and explainabil... read more 

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more 

Rethinking anticholinergic burden in older adults: innovative approaches to detection and management.

Expert review of clinical pharmacology
INTRODUCTION: Anticholinergic burden (AChB), the cumulative impact of medications with anticholinergic properties, is a modifiable risk factor linked to cognitive impairment, falls, and functional decline in older adults. Yet despite the availability... read more 

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip
This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more 

Regulation of biomarker analysis: what can be translated in the clinic?

Expert review of molecular diagnostics
INTRODUCTION: The introduction of biomarkers in precision medicine is heralding a new era of diagnostic power and personalized patient care. Biomarkers are critical tools for detecting various diseases, guiding treatment decisions, and predicting pat... read more