Infectious Disease

Metabolomic machine learning predictor for the diagnosis of alcohol-associated liver disease.

BACKGROUND: It is urgent to find novel non-invasive biomarkers that can accurately diagnose alcohol-associated liver disease (ALD). The objective of this study was to explore dysregulated metabolites in the serum of ALD patients by metabolomics, and establish a reliable diagnostic model by machine learning algorithms. METHODS: A total of 1800 participants, including ALD, metabolic dysfunction-asso...

Machine learning methods identified cellular senescence-related hub molecules in sepsis-induced acute respiratory distress syndrome (ARDS) and their upstream regulatory network.

BACKGROUND: Sepsis-induced ARDS demonstrated greater severity and higher mortality compared to ARDS triggered by other factors. In this article, we comprehensively explored the roles of cellular senescence (CS)-related genes in sepsis-induced ARDS, highlighting their hub molecules and upstream regulatory network via machine learning (ML) methods. METHODS: RNA-sequencing data of sepsis-induced ARDS...

Microbial innovations for climate-resilient agriculture: mechanisms, applications, and emerging technologies.

Agriculture is increasingly challenged by climate change-driven stresses, including rising temperatures, erratic rainfall, soil degradation, with incr...

An interpretable machine-learning model for post-admission reassessment of bloodstream infection risk in ICU patients with pneumonia.

The aim of this study is to develop and validate a machine learning-based predictive model to assess the risk of acquired bloodstream infection (BSI) ...

YATSIDroid: an android malware detection framework based on artificial immune system.

Malware detection has become a challenging issue in the field of software engineering. There is an exponential growth of smartphones and apps in the m...

Association of Staphylococcus aureus bloodstream infection with 7-day incident delirium in critically Ill adults: a propensity-weighted competing risk analysis.

BACKGROUND: Delirium is a frequent manifestation of acute brain dysfunction in critically ill patients with bloodstream infections (BSI). While the as...

Single-cell transcriptomics and machine learning unveil liquid-liquid phase separation-related biomarkers in HPV-positive cervical cancer.

BACKGROUND: Liquid-liquid phase separation (LLPS) dysregulation is a key driver of oncogenesis, yet its specific role in HPV-positive cervical cancer ...

High-throughput identification of bacterial β-glucuronidase inhibitors using machine learning.

The human gut microbiome plays a vital role in regulating host physiological functions and influencing the pharmacokinetics of interventions, particul...

Mitophagy-mediated immune evasion: Shared strategies of pathogens.

Mitophagy selectively eliminates dysfunctional mitochondria, playing a pivotal role in mitochondrial quality control and cellular homeostasis. Emergin...

Open Diagnostic Reader (ODR): An affordable, modular 3D-printed platform for standardized imaging and quantitative analysis of rapid diagnostic tests.

Rapid diagnostic tests (RDTs) are key to disease surveillance, yet their interpretation remains challenging due to weak test lines and difficulties in...

Mechanism of liquiritin from Codonopsis pilosula-Glycyrrhiza uralensis extract in alleviating piglet weaning stress via binding to alpha-1-microglobulin/bikunin precursor by machine learning and molecular dynamics simulation.

Weaning stress is a prevalent pathological condition in pig farming, primarily triggered by factors such as nutritional imbalance, oxidative stress, i...

Printing to Fight Antimicrobial Resistance Through Nano/Microstructured Platforms.

Antimicrobial resistance is one of the most pressing global public health threats, responsible for millions of deaths annually. To tackle this issue, ...

Machine Learning-Assisted Surface Ligand Engineering Strategy for Enhanced Sensitivity of Immunoassay Platform.

Nanozymes hold great promise in point-of-care (POC) diagnostics. However, their lower catalytic activity has significantly limited their clinical appl...

High-throughput discovery of Li3Sc2(PO4)3 as a protective coating for stabilizing mid-Ni NCM interfaces in all-solid-state batteries.

As all-solid-state battery (ASSB) technologies continue to advance, interest has resurfaced in mid-nickel (mid-Ni) LiNixCoyMnzO2 (NCM; x = 0.5) cathod...

Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study.

BACKGROUND: Chaotic dynamics has been the subject of both theoretical and empirical research in epidemiology, with the most recent research strongly f...

Early prediction of sepsis in the ICU: a comparative analysis of multiple machine-learning algorithms using the MIMIC-III database.

Sepsis is a high-burden, highly heterogeneous clinical challenge that affects up to 30% of ICU patients. Reliable early prediction is essential for ti...

Serological surveillance for malaria elimination in Southeast Asia: a scoping review.

BACKGROUND: As Southeast Asian countries advance toward malaria elimination, challenges such as residual transmission reservoirs and zoonotic spill-ov...

Research on influenza surveillance and a prediction model based on multi-source data.

OBJECTIVE: To develop and validate a multivariate Long Short-Term Memory (LSTM) model that integrates multi-source surveillance data for forecasting i...

Public announcements and mask use during COVID-19 bridging regression and machine learning.

The effectiveness of public health policies has a major impact on society. Throughout the COVID-19 pandemic, policy-makers worldwide introduced variou...

Digital twin of biomacromolecular thermodynamics in cryo-EM data.

The biological functions of biomacromolecules are linked to their thermodynamics. Thus, a quantitative understanding of the full scope of these dynami...