AI Medical Compendium

Genetic and immunological determinants of Pemphigus vulgaris: integrative analysis of HLA-DRB1 and FCGR2B variants.

Immunogenetics May 20, 2026

Pemphigus vulgaris (PV) is a rare autoimmune blistering disease mediated by pathogenic autoantibodies. Although both HLA and non-HLA loci contribute to disease susceptibility, their combined roles in immune regulation remain incompletely understood. ... read more

National trends and comparative outcomes of insulin versus non-insulin therapy in acute ischemic stroke patients treated with mechanical thrombectomy: a retrospective cohort study using the national inpatient sample.

Neurosurgical review May 20, 2026

Background diabetes mellitus is prevalent among patients with acute ischemic stroke (AIS). The prognostic significance of long-term insulin treatment status, a marker of diabetes severity and duration, on outcomes after mechanical thrombectomy (MT) i... read more

Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CT.

Japanese journal of radiology May 20, 2026

PURPOSE: Since the clinical application of computed tomography (CT), cardiac and respiratory motion artifacts have caused decreased image quality and reduced detection or quantitative or qualitative evaluation of lung parenchymal or vascular abnormal... read more

Development of colorimetric and machine learning based accurate glucose detection platform for point of care applications.

Scientific reports May 20, 2026

Improving overall health and preventing complications is crucial for timely and effective treatment of diabetes patients. In this direction, accurate measurement and detection of glucose concentration in blood is essential. The aim of this study is t... read more

Fully automated artificial intelligence-based echocardiographic analysis substantially reduces workflow time while preserving measurement accuracy: a pilot study.

Journal of cardiovascular imaging May 20, 2026

BACKGROUND: Transthoracic echocardiography (TTE) requires time-intensive integration of quantitative measurements and qualitative visual assessment. Fully automated artificial intelligence (AI)-based analysis may reduce total analysis time while pres... read more

Enabling Sodium-Ion Batteries Over 180 Wh/kg via Organic-Salt-Driven Sodium Replenishment.

Advanced materials (Deerfield Beach, Fla.) May 20, 2026

Compensating for the substantial sodium ion deficit inherent in P2-type layered sodium metal oxide cathodes represents a promising strategy for advancing high-performance sodium-ion batteries. However, current approaches still fail to reconcile the t... read more

An Overlooked Formulation Variable: Solvent Reshapes DNA Delivery.

ACS macro letters May 20, 2026

Nonviral polymeric vectors offer a tunable platform for nucleic acid delivery, yet formulation variables beyond polymer structure remain underexplored. Here, we systematically investigate the role of stock solvent in shaping gene delivery performance... read more

Dynamic Smart Membranes: Real-Time Perception, Self-Response, and AI-Driven Optimization for High-Safety Lithium-Based Batteries.

Advanced materials (Deerfield Beach, Fla.) May 20, 2026

Lithium-based batteries are fundamental to modern energy storage systems, yet their safety remains a critical challenge due to risks such as thermal runaway, dendrite-induced short circuits, and interfacial degradation. Conventional composite membran... read more

Deep Learning-Enhanced Generation and Screening of Antihyperuricemic Peptides from Chickpea Proteins: from Multienzyme Optimization to Molecular Mechanisms.

Journal of agricultural and food chemistry May 20, 2026

Food-derived bioactive peptides have emerged as promising functional ingredients for hyperuricemia management. However, multienzyme hydrolysis strategies remain underexplored because of inefficient screening methods. Herein, a large language model (L... read more

Calibration and evaluation of machine-learning algorithms for missense variant classification under ACMG/ClinGen recommendations.

Genetics in medicine : official journal of the American College of Medical Genetics May 20, 2026

PURPOSE: Missense variants represent a large proportion of variants of uncertain significance (VUS) in clinical genetics. The ClinGen framework now enables quantitative use of in silico predictors for variant classification (PP3/BP4), but newly devel... read more

Artificial Intelligence Medical Compendium