AI Medical Compendium

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

Sensory encoding of emotion conveyed by the face and visual context.

Social cognitive and affective neuroscience May 15, 2026

Humans rapidly detect and interpret sensory signals that have emotional meaning. The posterior superior temporal sulcus (pSTS) and amygdala are known to be critical for this ability, but their precise contributions remain contentious. Here we investi... read more

A web-based platform for real-time stewed beef freshness monitoring: Integrating anthocyanin colorimetric film with deep learning.

Food chemistry May 15, 2026

This study developed a web-based online monitoring system for assessing the freshness of stewed beef by integrating an intelligent colorimetric film with deep learning. A pH-responsive colorimetric film was fabricated using mulberry anthocyanin extra... read more

STAGE challenge: Structural-Functional Transition in Glaucoma Assessment.

Medical image analysis May 15, 2026

Glaucoma is a leading cause of irreversible yet preventable blindness in working-age populations. Clinical diagnos is currently relies on functional visual field (VF) examinations to evaluate visual function and monitor disease progression, but these... read more

Development of Machine Learning Models to Predict Candidemia in Hospitalized Adult Patients.

The Kurume medical journal May 15, 2026

PURPOSE: We aimed to develop a generalizable machine learning model that leverages electronic medical record (EMR) data to predict candidemia using information available on or before the date of blood culture collection. METHODS: This study included ... read more

Artificial Intelligence Medical Compendium