AI Medical Compendium

Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK Biobank.

Preventive medicine May 15, 2026

OBJECTIVE: The selection of accelerometer processing methods may influence the shape of the dose-response association between wearable-measured physical activity and health outcomes. We aimed to compare the association of stroke and myocardial infarc... read more

The role of whole genome sequencing in antimicrobial susceptibility prediction of bacteria: 2025 update from the EUCAST Subcommittee.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 15, 2026

SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee report on the role of Whole Genome Sequencing (WGS) in Antimicrobial Susceptibility Testing (AST) concluded that WGS antimicrobial susceptibility predict... read more

Artificial intelligence in the differential diagnosis of hypertrophic cardiomyopathy and physiological hypertrophy: a scoping review.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese May 15, 2026

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited myocardial disorder and a major cause of sudden cardiac death in young adults and competitive athletes. Distinguishing HCM from exercise-induced physiological hypertrophy is c... read more

Integrated Diagnosis of Submassive Pulmonary Embolism Using Computed Tomography Angiography, Echocardiography, and Artificial Intelligence.

Journal of vascular surgery. Venous and lymphatic disorders May 15, 2026

OBJECTIVES: Early intervention in submassive pulmonary embolism (SMPE) has been shown to improve long-term cardiopulmonary outcomes compared to anticoagulation alone. SMPEs are diagnosed by documentation of right-to-left ventricular (RV/LV) ratio > 0... read more

An Evaluation of AI Chatbots as Replacements for Specialized Software in Teaching Bayesian Pharmacokinetic Analysis.

American journal of pharmaceutical education May 15, 2026

OBJECTIVE: To investigate the accuracy and reliability of AI chatbots to estimate pharmacokinetic parameters from limited patient samples and population data for potential application in teaching Bayesian concepts. METHODS: Two plasma concentration-t... read more

Data modeling the interplay between single-cell shape, single-cell protein expression, and tissue state.

Cell reports methods May 15, 2026

While cell shape fundamentally governs tissue function, the underlying links between single-cell shape and protein expression have been difficult to resolve due to limitations in imaging multiplexing and population averaging. Here, we use multiplexed... read more

Scientific highlights and perspectives from the International Inflammatory Breast Cancer Symposium 2025.

Cancer May 15, 2026

Inflammatory breast cancer (IBC) is a rare yet highly aggressive subtype of breast cancer, characterized by distinct clinical features, rapid progression, and complex biology. Despite decades of research, patient outcomes remain poor, underscoring th... read more

Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.

Journal of Korean Neurosurgical Society May 15, 2026

Pediatric neurosurgery increasingly utilizes precision medicine, but practitioners encounter challenges in translating complex data into individualized care. Digital twin (DT) bridges this gap by linking real-world data to a dynamic patient in-silico... read more

Predicting gene-specific regulation with transcriptomic and epigenetic single-cell data.

Bioinformatics (Oxford, England) May 15, 2026

MOTIVATION: Analysis of single cell ATAC-seq and RNA-seq data has allowed to gain unprecedented insights into gene regulation by allowing to define cell type-specific regulatory regions and their effects on gene expression. While powerful, such analy... read more

Interpretable machine learning using accumulated local effects to characterise predictors of subclinical leaflet thrombosis after self-expanding transcatheter aortic valve implantation.

Interdisciplinary cardiovascular and thoracic surgery May 15, 2026

OBJECTIVES: Subclinical leaflet thrombosis is an early form of bioprosthetic valve dysfunction after transcatheter aortic valve implantation. Predicting subclinical leaflet thrombosis remains challenging. We aimed to apply machine learning not only t... read more

Artificial Intelligence Medical Compendium