Artificial Intelligence Medical Compendium

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

Showing 29,911 to 29,920 of 219,931 articles

An integrated analysis of lactylation signature reveals PRDX1 as a therapeutic target of keloid pathogenesis.

Scientific reports Apr 17, 2026
Keloids represent a pathological fibroproliferative disorder with high recurrence rates and limited therapeutic options. This study integrates multi-dataset transcriptomics (GSE158395, GSE188952, GSE92566, GSE173900) and machine learning algorithms (... read more 

DeepGreen: a real-time deep learning system for smart agriculture monitoring.

Scientific reports Apr 17, 2026
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A multi-task learning approach combining regression and classification tasks for joint feature selection.

Scientific reports Apr 17, 2026
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Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine.

Scientific reports Apr 17, 2026
UNLABELLED: Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilized clayey soil is critical for geotechnical engineering. Conventional regression algorithms and even advanced machine learning approaches such as artif... read more 

Integration of artificial intelligence competencies into a holistic digital literacy framework for middle school education.

Scientific reports Apr 17, 2026
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Prediction of sedimentation concentration profiles in inclined suspension systems: A data-driven neural network framework.

Scientific reports Apr 17, 2026
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Machine learning models for smart grid stability prediction: a comparative analysis.

Scientific reports Apr 17, 2026
As renewable energy sources and variable demand increase, maintaining the stability of smart grids (SGs) helps guarantee that electricity systems continue to operate effectively and uninterrupted. More intelligent solutions are required since traditi... read more 

Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI.

NPJ science of food Apr 17, 2026
Since 2012, tetrodotoxin (TTX) has been found in seafoods such as bivalve mollusks in temperate European waters. TTX contamination leads to food safety risks and economic losses, making early prediction of TTX contamination vital to the food industry... read more 

Toward sustainable energy production: a comparative machine learning framework for predicting green hydrogen cost across the african continent.

Scientific reports Apr 17, 2026
Rapid decarbonisation of hard-to-electrify sectors requires low-emission hydrogen, but deployment is constrained by uncertainty in the Levelized Cost of Hydrogen (LCOH) across diverse national contexts. Using Africa as a case study, where green hydro... read more 

A multisource dataset for anomaly detection and fault prediction in urban water distribution networks.

Scientific data Apr 17, 2026
This multi-source dataset was compiled to support research on anomaly-based leak detection in urban water distribution networks (WDNs). It contains one year of hourly data collected from a Slovak water utility, combining supervisory control and data ... read more 
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