AI Medical Compendium

Feasibility of Integrating Urinary Proteomics and Machine Learning for Diagnosing Diabetic Nephropathy.

Journal of proteome research Feb 13, 2026

Diabetic nephropathy (DN) represents the predominant microvascular complication associated with diabetes mellitus; however, existing diagnostic techniques are inadequate. This study evaluated candidate urinary protein biomarkers for diagnosing DN. A ... read more

Toward Doubly Local Double Hybrid Functionals Using Neural-Network Local Mixing Functions.

Journal of chemical theory and computation Feb 13, 2026

The first optimization and evaluation of "doubly local double hybrid" (DLDH) functionals is reported. DLDHs provide a position-dependent mixing not only of exact and semi-local exchange but at the same time also of second-order perturbational (PT2) a... read more

Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Feb 13, 2026

Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a comprehensive analysis of the occurrence, mobility, and toxicological impacts of MPs, focusing on their r... read more

Correction for Wiesmann et al., "Prediction of antimicrobial resistance from MALDI-TOF mass spectra using machine learning: a validation study".

Journal of clinical microbiology Feb 13, 2026

Association of wearable-sensor derived gait measures with cartilage damage over 2 years in the Multicenter Osteoarthritis Study.

Arthritis care & research Feb 13, 2026

PURPOSE: Gait affects knee loading. Modifying gait could reduce load and protect against cartilage loss. Our objective is to look for modifiable gait parameters and determine their relation with worsening cartilage damage. METHODS: We studied partici... read more

Dexpression recognition from EEG based on nonlinear analysis and adaptive feature fusion.

Computer methods in biomechanics and biomedical engineering Feb 13, 2026

Machine learning techniques have recently shown significant promise in electroencephalograph (EEG)-based depression recognition. However, existing methods often rely on simple feature concatenation to fuse information from multiple perspectives, fail... read more

Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia/atrophy in infants.

Pediatric radiology Feb 13, 2026

BACKGROUND: Accurate measurement of cerebellar volume is crucial for diagnosing cerebellar atrophy or hypoplasia in infants. Although deep learning has achieved some success in cerebellar segmentation, existing studies primarily focus on adults. Chal... read more

A modern radiologist's guide to artificial intelligence.

Pediatric radiology Feb 13, 2026

Artificial intelligence (AI) has the potential to disrupt many fields, and radiology is no exception. The applications of AI in this field go beyond automated diagnosis since they can be used in any stage of the radiological pipeline, from patient re... read more

Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial.

European radiology Feb 13, 2026

OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to be integrated in clinically significant prostate cancer (csPCa) screening. Moreover, artificial intelligence (AI) is emerging too as a potential suppo... read more

Machine learning and AI-Assisted red blood cell morphology analysis for effective thalassemia screening.

Annals of hematology Feb 13, 2026

Artificial Intelligence Medical Compendium