Objective The aim of this study was to assess the epidemiological and clinical characteristics of herpes zoster (HZ) and to ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

A study of 1.4 million real workplace interactions with artificial intelligence reveals teachable differences between routine ...

Abstract: Multivariate time series forecasting needs to capture the changing characteristics within series and consider the mutual influence between multiple variables. However, most existing deep ...

A session exploring the latest analytical and computational strategies in metabolomics/lipidomics is scheduled at analytica ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Objective: This study aims to investigate the current status and influencing factors of spiritual care needs among liver ...

Background Although the increased risk of cardiovascular disease in patients with SLE is well-documented, effective tools for ...

A novel workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with computer vision (CV) was developed to analyze the complex volatile profiles of coffee. By generating composite ...

Context Blood flow-restricted resistance exercise (BFR-RE) is used to elicit hypertrophy and strength adaptations with low ...