Artificial Intelligence Medical Compendium

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

Showing 3,781 to 3,790 of 169,808 articles

Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data.

Computers in biology and medicine Aug 8, 2025
Childhood obesity is a growing global health concern as it is correlated with an increased risk of adult-onset and chronic diseases. Recent advances in digital healthcare technologies have enhanced the efficiency of health data analysis and diagnosis... read more 

Optimizing drug design by merging generative AI with a physics-based active learning framework.

Communications chemistry Aug 8, 2025
Machine learning is transforming drug discovery, with generative models (GMs) gaining attention for their ability to design molecules with specific properties. However, GMs often struggle with target engagement, synthetic accessibility, or generaliza... read more 

Machine learning-assisted design of cathode materials for lithium-sulfur batteries derived from a metal-organic framework.

Materials horizons Aug 8, 2025
Designing cathode materials is crucial for developing advanced Li-S batteries, but conventional trial-and-error methods are time- and resource-intensive. This study employs machine learning (ML) with feature analysis, data augmentation, and backward ... read more 

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

Hereditas Aug 8, 2025
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response.... read more 
Humans Machine Learning Biomarkers Animals Gene Expression Profiling Sepsis ROC Curve Mice Computational Biology Pyroptosis Liver Failure, Acute

AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.

Scientific reports Aug 8, 2025
Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. Peptide therapies have emerged as a promising approach... read more 
Humans Machine Learning Algorithms Aging Peptides Computational Biology Antimicrobial Peptides

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

Scientific reports Aug 8, 2025
COVID-19 has posed a significant global health challenge, affecting individuals across all age groups. While extensive research has focused on adults, pediatric patients exhibit distinct clinical characteristics that necessitate specialized predictiv... read more 
Humans Machine Learning COVID-19 Algorithms Retrospective Studies Female SARS-CoV-2 Male Infant Severity of Illness Index Adolescent Child, Preschool Child

ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion.

Plant methods Aug 8, 2025
Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. To address the challenges of insufficient feature extraction and poor multi-scale disease a... read more 

Human respiratory simulation based on 3D modelling - a review.

Journal of medical engineering & technology Aug 8, 2025
Accurate simulation of respiratory dynamics is essential for advancing the diagnosis and treatment of pulmonary diseases. This review analyzes current methodologies for modelling lung mechanics during insufflation and exsufflation, focusing on airflo... read more 

Multimodal Alzheimer's disease recognition from image, text and audio.

Scientific reports Aug 8, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly affects cognitive function. One widely used diagnostic approach involves analyzing patients' verbal descriptions of pictures. While prior studies have primarily f... read more 
Humans Female Male Alzheimer Disease

ActivityDiff: A diffusion model with Positive and Negative Activity Guidance for De Novo Drug Design

arXiv Aug 8, 2025
Achieving precise control over a molecule's biological activity-encompassing targeted activation/inhibition, cooperative multi-target modulation, and off-target toxicity mitigation-remains a critical challenge in de novo drug design. However, exist... read more 
Machine Learning Artificial Intelligence Biomolecules
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