Artificial Intelligence Medical Compendium

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

Showing 11,421 to 11,430 of 209,934 articles

Machine learning-driven analysis of serum GDF15 trajectories identifies novel sepsis sub-phenotypes and predicts 28-day mortality.

Cytokine
BACKGROUND: Sepsis heterogeneity complicates management and prognosis. Growth differentiation factor 15 (GDF15) may offer novel insights into sepsis sub-phenotyping. This study explored serum GDF15 trajectories for sub-phenotyping and prognostic stra... read more 

Machine learning for the spatial prediction of soil and groundwater contamination: An integrative global review.

Journal of hazardous materials
The spatial distribution of soil and groundwater pollutants is critical for effective remediation. Machine learning methods are increasingly applied in predicting pollutant distributions due to their efficiency, low cost, and ability to capture compl... read more 

Two-Step Ensemble Convolutional Neural Networks for Colonoscopic Biopsy Classification Resembling Pathologists' Process.

Journal of Korean medical science
BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent CRC mortality. Recently, studies have attempted utilizing artificial intelligence for the classificat... read more 

RLSFmode: A deep learning approach for predicting RNA-small molecule binding modes via molecular surface modeling.

International journal of biological macromolecules
As RNA becomes an emerging therapeutic target, predicting the binding mode of RNA-small molecule through emerging algorithms is of crucial importance in drug development. A complete prediction of binding modes should not only include recognition of n... read more 

Constitutive activation of a hybrid two-component regulator reveals cross-regulation of polysaccharide utilization genes in Bacteroides.

The Journal of biological chemistry
Human gut microbes, such as Bacteroides, rely on specialized gene clusters known as polysaccharide utilization loci (PULs) to metabolize diverse dietary and host-derived glycans. A major class of transcription regulators of these PULs is the hybrid t... read more 

AI-Informed Architectural Insights of Three-Dimensional Glandular Networks Identify Prostate Cancer Patients at a Higher Risk of Biochemical Recurrence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Pathologists diagnose and grade prostate cancer using thin two-dimensional (2D) histological sections, but these 3-5 micron sections are too thin to visualize complete glandular networks and three-dimensional (3D) spatial relationships of adenocarcin... read more 

Diagnosing the Spatiotemporal Evolution of Anthropogenic CO2 Emission Drivers in China Under Systemic Disruptions Using Interpretable Machine Learning.

Environmental research
Understanding how anthropogenic CO2 emissions (ACE) respond to large-scale systemic disruptions is essential for climate mitigation and environmental management. Here, we develop an interpretable machine learning framework that integrates an XGBoost ... read more 

Unveiling hidden heavy metal hotspots in mining landscapes using integrated hyperspectral remote sensing.

Environmental pollution (Barking, Essex : 1987)
Regional ecological risk assessments typically rely on interpolated toxic heavy metal (THM) surfaces derived from sparse field samples. However, this approach is fundamentally constrained by sampling density and interpolation errors, resulting in hig... read more 

Fast MR elastography via deep learning-based phase interpolation: A technical feasibility study.

Magnetic resonance imaging
Clinical MR elastography (MRE) typically requires acquisition of four vibration phase images synchronized with external vibrations, prolonging acquisition time and increasing slice misalignment risk due to inadequate breath-holding. To address this l... read more 

Multi-epitope tick vaccines: From computational design to field deployment, immunoinformatics approaches, validation challenges, and translational pathways.

Parasitology international
Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional vaccines based on the concealed antigen Bm86 provide only partial protection and are often constrain... read more