Connection between liver and brain in the context of metabolic liver disease revealed

A multidisciplinary research team has discovered that liver alterations associated with metabolic dysfunction–associated ...
IEEE

DeepGDel: Deep Learning-Based Gene Deletion Prediction Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

Abstract: In genome-scale constraint-based metabolic models, gene deletion strategies are crucial for achieving growth-coupled production, where cell growth and target metabolite production are ...
Frontiers

From Traditional Metabolic Markers to Ensemble Learning: Comparative Application of Machine Learning Models for Predicting NAFLD Risk in Adolescents

The final, formatted version of the article will be published soon. Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly prevalent among adolescents and poses a major public health ...
Bleeping Computer

How to spot dark web threats on your network using NDR

Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...
C&EN

Development of a Novel Hydroxylamine-Based Stable Isotope Labeling Reagent for Profiling Aldehyde Metabolic Biomarkers in Diabetes Using LC-MS/MS and Machine Learning

Department of Chemistry, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China ...
marktechpost

Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...
C&EN

Synergizing a Metabolic Blockade and Non-reducing Polyketide Synthase Substrate Flexibility Expand Depsidone Diversity in a Marine-Derived Aspergillus Species

State Key Laboratory of Tropical Oceanography, Guangdong Key Laboratory of Marine Materia Medica, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People’s ...
IEEE

Triplet-Based Deep Hashing Incremental Learning for Brain Network Classification

Abstract: Due to the limitations of collection conditions and costs, public brain network datasets generally combine data from multiple sites. However, the difference among multi-source data collected ...