Artificial Intelligence Medical Compendium

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

Showing 63,291 to 63,300 of 230,760 articles

Integrating multiomics data using a correlation based graph attention network for subtype classification in lower grade glioma.

Discover oncology Jan 16, 2026
Accurate classification of cancer subtypes is crucial for personalised therapies and targeted interventions. In this study, we propose BioGAT-LGG, a deep learning framework that integrates multi-omics data, including mRNA, miRNA, and DNA methylation,... read more 

Integrated machine learning and bioinformatic analyses constructed a sulfur metabolism-related breast cancer risk model and identified heat-shock protein A9 as a potential therapeutic target for human breast cancer.

Discover oncology Jan 16, 2026
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Cultural Psychology for a Technologically Transformed Society: A Neo-Structuration Perspective.

Integrative psychological & behavioral science Jan 16, 2026
This paper examines the project of cultural psychology proposed by Aaro Toomela in his recent paper (2025) through the prism of current discussions in sociology, primarily the theory of neo-structuration. This theory claims the increasing dependence ... read more 
Humans Artificial Intelligence Culture Psychological Theory

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

Ophthalmology and therapy Jan 16, 2026
INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatment of neovascular age-related macular degeneration (nAMD) burden patients and healthcare systems. Faricimab may reduce this burden, but robust data a... read more 

Predictive analysis and performance assessment of coal bottom ash in recycled aggregate concrete under elevated temperatures.

Environmental science and pollution research international Jan 16, 2026
This study investigates the viability of utilizing coal bottom ash (BA) as a replacement for natural fine aggregate (NFA) in concrete containing recycled coarse aggregates (RCA). Although recycled materials often diminish mechanical properties, BA's ... read more 

Multi-omics Mendelian randomization and machine learning identify candidate therapeutic targets for Alzheimer's and Parkinson's diseases.

Mammalian genome : official journal of the International Mammalian Genome Society Jan 16, 2026
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are major public health challenges lacking effective therapies. To identify potential drug targets, we integrated large-scale genome-wide association ... read more 
Humans Machine Learning Animals Molecular Docking Simulation Transcriptome Genome-Wide Association Study Mice Multiomics Disease Models, Animal Parkinson Disease Mendelian Randomization Analysis Alzheimer Disease Quantitative Trait Loci

A clinically translatable pathomics-based predictive model for preoperative prognostic assessment in patients with endometrial cancer.

Discover oncology Jan 16, 2026
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The real world of Italian new-generation radiologists: challenges and career expectations.

La Radiologia medica Jan 16, 2026
PURPOSE: To assess the perceived work-life balance, sources of job dissatisfaction, and career aspirations in the new generation of residents and young radiologists. MATERIALS AND METHODS: A national survey was conducted among young members of the It... read more 

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

Ergonomics Jan 16, 2026
The global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims to optimise a 30-item questionnaire developed on the basis of Maslow's Hierarchy of Needs by employi... read more 

Predicting epistasis across proteins by structural logic.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2026
Accurately predicting the phenotypic consequences of genetic variation is a major challenge for precision medicine. The problem is exacerbated by epistatic interactions, nonadditive effects between genetic variants that produce unexpected phenotypes.... read more 
Humans Machine Learning Algorithms Saccharomyces cerevisiae Epistasis, Genetic Fumarate Hydratase
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