Artificial Intelligence Medical Compendium

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

Showing 47,531 to 47,540 of 224,199 articles

Integrative metabolomics and machine learning reveal the toxic mechanisms of elaidic acid in polycystic ovary syndrome.

Reproductive toxicology (Elmsford, N.Y.) Feb 24, 2026
BACKGROUND: Polycystic ovary syndrome (PCOS) is characterized by reproductive dysfunction and metabolic disturbances, including obesity, insulin resistance, and dyslipidemia. Dietary trans fatty acids, particularly elaidic acid (EA), have been implic... read more 

Microbial fuel cells for sustainable energy and wastewater treatment: Integrating seaweed biomass, machine learning, and hybrid systems for enhanced performance.

Bioresource technology Feb 24, 2026
Seaweeds (SWs) have been widely used in food, agricultural, pharmaceutical industries, and biofuel production (especially biogas) and have been well-reviewed. Recently, emerging research has explored the SWs utilization in microbial fuel cells (MFCs)... read more 

Adaptive optimization of combined steam and CO2 reforming for hydrogen production from variable biogas feed.

Bioresource technology Feb 24, 2026
Biogas-to-hydrogen (B2H2) conversion offers a sustainable pathway for valorizing organic waste-derived biogas from anaerobic digestion (AD) into clean energy carriers. However, temporal variations in biogas composition strongly influence the endother... read more 

Prediction of preparation conditions for low PAHs corn straw biochar guided by CatBoost model optimized via genetic algorithm and molecular dynamics simulation.

Bioresource technology Feb 24, 2026
Biochar shows great potential in cultivated soil improvement, but its polycyclic aromatic hydrocarbons (PAHs) are toxic and may threaten ecological security and human health via the soil-plant system. To optimize low-PAHs biochar production, this stu... read more 

Explainable multimodal deep learning models for variable-length sequences in critically ill patients.

Journal of biomedical informatics Feb 24, 2026
OBJECTIVE: Deep learning models have shown strong performance in predicting clinical events in critical care using structured electronic health record (EHR) data. While incorporating unstructured notes improves accuracy, multimodal fusion and explain... read more 

From conventional screening to self-driving discovery: Organ-on-Chip platforms as engines for AI-guided nanomedicine.

Advanced drug delivery reviews Feb 24, 2026
Nanoparticles have become an essential platform for next-generation drug delivery and therapeutic development, yet clinical translation remains limited by an incomplete understanding of their interactions within human biological systems. Organ-on-a-c... read more 

Integrative bioinformatics and machine learning combined with experimental validation in a doxorubicin-induced model identify BACH2, NXPH4, CD1E, and LIF as sodium overload-related molecular signatures in dilated cardiomyopathy.

Life sciences Feb 24, 2026
INTRODUCTION: Dilated cardiomyopathy (DCM) is a leading cause of heart failure and remains a major clinical challenge due to its complex etiology and lack of effective targeted therapies. Sodium overload-induced necrosis, a recently described form of... read more 

Advanced computational analysis in metagenomic studies to support precision medicine.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 24, 2026
BACKGROUND: The human microbiome has been linked to host health and is suggested to play a direct role in the onset of certain human diseases, as well as in impacting treatment efficacy. Characterizing the microbiome composition and its interaction w... read more 

Exploration of the mental attention mechanisms in motor imagery-based EEG decoding.

Journal of neuroscience methods Feb 24, 2026
BACKGROUND: Brain-Computer Interface (BCI) systems enable direct communication between the brain and external devices, with motor imagery (MI)-based BCIs as a key paradigm. Although decoding neural signals has advanced via machine learning and deep l... read more 

Deep Learning-Based Diagnostic Model for Ocular Surface Neoplastic Diseases.

American journal of ophthalmology Feb 24, 2026
PURPOSE: To develop a deep learning (DL) model for diagnosing ocular surface tumors and evaluating its diagnostic performance. SETTING: Development of a deep learning diagnosis algorithm. METHODS: A total of 1491 ocular surface images representing 7 ... read more 
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