AI Medical Compendium

An Interpretable Machine Learning Model for Predicting the Presence of Talaromycosis in HIV Patients Lacking Skin Lesions.

Mycopathologia Jul 21, 2026

INTRODUCTION: The existing predictive models for talaromycosis in people living with HIV without skin lesions are limited by established risk factors and traditional statistical approaches. This study aims to develop an interpretable machine learning... read more

Advanced prediction of cardiovascular-kidney-metabolic syndrome using eight machine learning models and 24 composite indices.

BMC cardiovascular disorders Jul 21, 2026

AIM: This study aimed to construct and validate a machine learning classifier for cross-sectionally stratifying existing cardiovascular-kidney-metabolic (CKM) syndrome stages using routine composite inflammatory, metabolic and anthropometric indices,... read more

Predicting women's intention to use contraceptives in East Africa: a machine learning analysis of predictors.

BMC women's health Jul 20, 2026

INTRODUCTION: Intention to use contraceptives reflects an individual's or couple's plan to adopt contraceptive methods, supporting women's reproductive autonomy. It is associated with reduced unintended pregnancies, unsafe abortions, and high fertili... read more

Machine learning-based identification of lactate metabolism-associated biomarkers in non-alcoholic fatty liver disease.

Clinical and experimental medicine Jul 21, 2026

To determine lactate metabolism-associated biomarkers for non-alcoholic fatty liver disease (NAFLD). Based on NAFLD datasets from the gene expression omnibus database and lactate metabolism-related genes from GeneCards database, NAFLD-lactate metabol... read more

Machine learning of electronic structure and atomistic properties from the external potential.

The Journal of chemical physics Jul 21, 2026

Electronic structure calculations remain a major bottleneck in atomistic simulations and, not surprisingly, have attracted significant attention in machine learning (ML). Most existing approaches learn a direct map from molecular geometries, typicall... read more

Quantum machine learning for predicting properties of van der Waals bilayers.

The Journal of chemical physics Jul 21, 2026

Layering two-dimensional (2D) materials into van der Waals bilayers provides an effective method to achieve innovative quantum states and tunable electronic properties. Exploring the extensive configurational space resulting from various layer combin... read more

Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.

The Journal of chemical physics Jul 21, 2026

The characterization of nanostructured materials under reactive environments is challenging due to the complexity of the structural motifs involved and their chemical transformations. Global optimization approaches allow predicting stable structures ... read more

Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.

The Journal of chemical physics Jul 21, 2026

The characterization of nanostructured materials under reactive environments is challenging due to the complexity of the structural motifs involved and their chemical transformations. Global optimization approaches allow predicting stable structures ... read more

Deep learning for multimodal physiological signal based assessment of sleep disordered breathing.

Scientific reports Jul 20, 2026

Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records multiple physiological signals during sleep. Accurate automated assessment of SDB related breathing abnormalities remains challenging because respiratory... read more

Comment on "Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration".

World journal of urology Jul 20, 2026

Artificial Intelligence Medical Compendium

An Interpretable Machine Learning Model for Predicting the Presence of Talaromycosis in HIV Patients Lacking Skin Lesions.

Advanced prediction of cardiovascular-kidney-metabolic syndrome using eight machine learning models and 24 composite indices.

Predicting women's intention to use contraceptives in East Africa: a machine learning analysis of predictors.

Machine learning-based identification of lactate metabolism-associated biomarkers in non-alcoholic fatty liver disease.

Machine learning of electronic structure and atomistic properties from the external potential.

Quantum machine learning for predicting properties of van der Waals bilayers.

Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.

Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.

Deep learning for multimodal physiological signal based assessment of sleep disordered breathing.

Comment on "Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration".

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