A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists succeeded in linking the structure and dynamics of biochemical ...

Consuming a high-fat diet can lead to a variety of health problems—not only weight gain but also an increased risk of ...

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer ...

This study aimed to determine how certain Key Performance Indicators (KPIs) based on student interactions with Blackboard helped to forecast the learning outcomes of students. A mixed-methods study ...

The disease progression is exacerbated by inflammatory processes involving cytokines and metabolic factors ... This research proposes a deep learning framework that employs Convolutional Neural ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...

This process is integrated into the host–microbiota co-metabolic network via two pathways. Microbially, 13 C-PLA-MPs are metabolized through lactate and aspartate into the purine pathway ...

Background: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-Metabolic Syndrome (CKM), emphasizing ... Restricted cubic splines; Machine learning (XGBoost, ...