AI Medical Compendium

Exploring the potential targets and mechanisms of artemisinin in the treatment of diabetic kidney disease using network pharmacology and molecular docking.

Functional & integrative genomics Jun 1, 2026

Diabetic kidney disease (DKD) is a secondary glomerular disease caused by diabetes, and its incidence is increasing annually. Artemisinin is an organic compound with multiple pharmacological effects. This study aims to investigate the potential thera... read more

High Polarity Doping of CoFe Layered Hydroxides: Bifunctional and Corrosion-Resistant Anion Exchange Membrane Seawater Electrolyzers.

Nano-micro letters Jun 1, 2026

Green hydrogen production through seawater electrolysis is a promising strategy, although challenges such as sluggish oxygen evolution reaction (OER) kinetics and chlorine (Cl-) corrosion hinder its practical applicability. A novel fluorine (F)-doped... read more

Integrative multi-omics analysis identifies a circadian rhythm-associated gene signature for prognosis and therapeutic stratification in lung adenocarcinoma.

Discover oncology Jun 1, 2026

BACKGROUND/OBJECTIVES: Circadian rhythm disruption is increasingly implicated in tumor progression and therapy resistance. However, its prognostic value and impact on the tumor immune microenvironment in lung adenocarcinoma (LUAD) remain unclear. Thi... read more

Nanostructured electrode materials and flexible-substrate engineering for wearable multi-analyte biosensors in diabetes monitoring and personalized care: a comprehensive review.

Journal of materials science. Materials in medicine Jun 1, 2026

This review examines the convergence of wearable biosensors and artificial intelligence (AI) in personalized diabetes care. It addresses the limitations of traditional glucose monitoring and underscores the need for continuous, multi-analyte physiolo... read more

The (r)evolution of chemical space and molecular modeling: a time-resolved perspective.

Journal of computer-aided molecular design Jun 1, 2026

The number and types of chemical compounds are expanding at an unprecedented rate. To model existing chemicals and aid in the design of novel chemical structures, appropriate computational approaches, tailored to the goals of specific projects, have ... read more

Interpretable machine learning model for predicting operative difficulty in robotic total mesorectal excision for mid-low rectal cancer.

Journal of robotic surgery Jun 1, 2026

Precise preoperative prediction of surgical complexity in robot-assisted total mesorectal excision (R-TME) is essential for optimizing surgical strategies. The current study aimed to construct an interpretable machine learning (ML) model to anticipat... read more

ASO Authors Reflections: Artificial Intelligence-Driven Three-Dimensional Reconstruction System-From Plan to Procedure.

Annals of surgical oncology Jun 1, 2026

A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry Jun 1, 2026

Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular, material, and process design, but their reliability decreases when extrapolation occurs beyond the training data. To address this challenge, an inde... read more

A risk stratification framework based on ammonia-induced cell death signatures for prognostic assessment and therapeutic insights in colorectal cancer.

Discover oncology Jun 1, 2026

BACKGROUND: Ammonia, which was traditionally regarded as a metabolic by-product, has more recently emerged as a crucial regulator of tumor metabolism and immune dysfunction. Nevertheless, the prognostic implications and therapeutic significance of am... read more

Evaluation of super-resolution deep learning reconstruction on three-dimensional constructive interference in steady state for enhanced visualization of vestibular schwannomas.

Radiological physics and technology Jun 1, 2026

We evaluated whether, compared with conventional deep learning reconstruction (DLR) and zero-filling interpolation (ZIP), super-resolution DLR (SR-DLR) enhances the visualization of vestibular schwannomas and cranial nerves in three-dimensional const... read more

Artificial Intelligence Medical Compendium