Infectious Disease

Unveiling hidden variables in stressed bacteria.

Phenotypic heterogeneity is a defining feature of bacterial stress responses, long framed as irreduc...

Predictive modeling of molecular activity underlying physical cell-cell interactions.

Interactions between cells are central to tissue organization and function in health and disease. La...

Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on heal...

Mechanism of Ag+-Induced Folding of a Bacterial Peptide from Replica-Exchange Molecular Simulations.

Interactions between proteins and metal cations are central to biochemical processes and shape prote...

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal effi...

Novel convolutional neural network for bacterial identification of confocal microscopic datasets.

Artificial intelligence (AI), complex mathematical algorithms, is currently employed across various ...

A multi-phase, multi-method assessment of national COVID-19 vaccination performance with equity analysis.

Perceived safety during human-robot interaction with an autonomous mobile robot.

Autonomous mobile robots (AMRs) are being rapidly implemented in the manufacturing and warehousing i...

Rare microbial taxa as potential drivers of yield variation in sauce-flavor baijiu fermentation: Insights from microecology and machine learning.

The multi-round, solid-state fermentation process of sauce-flavor baijiu exhibits substantial fluctu...

From clinics to the environment: A systematic review of machine learning and MALDI-TOF MS in the identification of antimicrobial-resistant bacteria.

As a result of the increasing prevalence of Antibiotic-resistant bacteria (ARB) and antibiotic-resis...

Inferring context-specific site variation with evotuned protein language models.

Multiple sequence alignments (MSAs) have been traditionally used for making inferences about site-sp...

Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early pre...

Comparing Generative Artificial Intelligence vs Experts for Detection of Catheter-Associated Urinary Tract Infection.

A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection co...

Information-Guided Fusion of Multimodal Vibrational Spectroscopy for Disease Diagnosis Based on Symbiotic Attention Decoupled Contrastive Learning.

Vibrational spectroscopy has gained significant attention in medical diagnosis due to its high sensi...

Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.

The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progress...

Spatiotemporal dynamics and multiple driving factors of antimicrobial resistance in China during the COVID-19 pandemic (2019-2023): a provincial panel data analysis.

Antimicrobial resistance (AMR) poses a critical and growing global health threat, directly causing m...

[Imaging of eosinophilic pneumonia : Differential diagnosis in radiological practice].

CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heteroge...

Current Status of Molecular Dynamics Simulations of Membrane Permeabilization by Antimicrobial Peptides and Pore-Forming Proteins: A Review.

Biological membranes are crucial for cellular integrity and function, but their selective permeabili...

Carboxymethyl Cellulose/Sodium Lignosulfonate Composite Hydrogel with Toughness, Adhesiveness, and Antibacterial Properties for Monitoring Respiration in Heart Failure Patients.

The advancement of personalized medicine is increasingly reliant on wearable health monitoring techn...

Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.

BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of seps...

Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand.

Dengue severity prediction models are usually developed using hospitalized patient data, but triage ...