Artificial Intelligence Medical Compendium

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

Showing 1,881 to 1,890 of 213,633 articles

Network-based discovery of regulatory drivers of cognitive decline in alzheimer's disease.

npj aging Jul 16, 2026
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder marked by progressive cognitive decline, yet its transcriptional regulatory architecture remains poorly understood. Here, we model sample-specific gene regulatory networks (GRNs)... read more 

MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.

NPJ systems biology and applications Jul 16, 2026
Identification of minimally invasive biomarkers of cancer-associated cachexia may help to recognize high risk patients for progression to more severe cachectic stages. We developed a machine learning-based Model for Cachectic Patients Stratification ... read more 

Fault diagnosis of surge arresters via electro-thermal coupled simulation and gradient boosting tree.

Scientific reports Jul 16, 2026
The Metal-Oxide Arrester (MOA) is a crucial device for ensuring the safety of power grids, but its fault diagnosis faces the challenge of scarce actual fault samples. In this study, a 3D electro-thermal coupled simulation model is developed to recons... read more 

A multimodal optical microscopy dataset for characterizing cytoskeletal organization.

Scientific data Jul 16, 2026
Optical microscopy combined with machine learning for image analysis is seeing increasing use for studying cell morphology and the organization of subcellular structures such as the cytoskeleton. Training and validating machine learning models requir... read more 

AGFR-Net: anatomy-guided feature refinement for robust multi-label thoracic disease classification from chest X-rays.

Scientific reports Jul 16, 2026
Detecting thoracic diseases from chest X-ray images remains difficult because many abnormalities appear with subtle visual patterns and are often obscured by overlapping anatomical structures. Another major challenge is the highly uneven distribution... read more 

AlphaGEM enables precise genome-scale metabolic modelling by integrating protein structure alignment with deep-learning-based dark metabolism mining.

Nature communications Jul 16, 2026
Constructing high-quality genome-scale metabolic models (GEMs) for non-model organisms remains challenging. To address this, we developed AlphaGEM, a versatile toolbox leveraging proteome-scale structural alignment, protein language models (PLMSearch... read more 

An informed regression-based knowledge distillation framework for simultaneous prediction of physical and mechanical properties of thermoset epoxy polymers.

Scientific reports Jul 16, 2026
Epoxy polymers are widely used due to their multifunctional properties, however their complex 3D molecular structure, multi-component nature, and lack of curated datasets have limited the application of machine learning (ML) for these materials.Exist... read more 

Global model for riverine suspended sediment concentration from Landsat.

Scientific reports Jul 16, 2026
Long-term suspended sediment concentration data are essential for understanding the response of rivers in a changing world. Here, we trained and evaluated a model that uses surface reflectance from multiple Landsat satellites (TM, ETM+, and OLI) to e... read more 

Enhancing IoT network security with explainable deep learning-based intrusion detection systems.

Scientific reports Jul 16, 2026
Deploying effective intrusion detection systems on low-power IoT devices requires a careful balance of performance, efficiency, and transparency. Current neural-network-based solutions are often too resource-intensive and opaque for practical edge us... read more 

A domain-agnostic explainable framework for network attack detection across diverse traffic datasets.

Scientific reports Jul 16, 2026
The increasing complexity, scale, and diversity of cyber threats pose significant challenges to modern network security systems, particularly in heterogeneous network environments. Existing intrusion detection methods often rely on dataset-specific m... read more 
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