Infectious Disease

Comparative evaluation of feature selection methods for HRV-based survival modeling in HIV-positive ICU patients: a retrospective study.

Enthusiasm and hesitation: a structural topic modelling analysis of long-acting injectable PrEP perceptions among Dutch-speaking MSM.

BACKGROUND: Long-acting injectable PrEP (LA-PrEP) is a novel HIV prevention modality recently approv...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (I...

A Histone Deacetylase Activity Model for the Discovery and Validation of Sepsis Biomarkers.

INTRODUCTION: Histone deacetylases (HDACs) play critical roles in immune regulation and inflammatory...

Predicting public Intensive care unit mortality and hospitalization using Data: An evaluation of Brazil's Largest COVID-19 epidemiological dataset.

OBJECTIVES: To assess the SRAG dataset's potential for modeling COVID-19 mortality and LOS-ICU, iden...

Integrative proteomics to illuminate host-parasite interactions in malaria.

Genomic studies have transformed malaria research but provide only indirect proxies for the function...

Screening and dynamic change study of microbial and metabolite markers for calf diarrhea based on multi-omics and machine learning.

UNLABELLED: Neonatal calf diarrhea is a leading cause of calf mortality and substantial economic los...

Single-Bacterium Screening of Oral Pathogens by Terahertz Near-Field Nanoscopy Derived Multiparameter.

Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conv...

A responsible AI framework for infection surveillance in low-resource settings: ethics, opportunities and threats for LMICs (EOT-LMICs).

The integration of artificial intelligence (AI) into infection surveillance represents a significant...

Development and validation of a machine learning model for predicting 6-month mortality in patients with infective endocarditis.

OBJECTIVE: This study aimed to develop and validate a machine learning (ML)-based model for predicti...

CFlowAMP: Property controllable De Novo AMP design via integrating ESM-2 with conditional flow matching.

The escalation of antimicrobial resistance (AMR) has become a major global public health threat, cre...

Simultaneous analysis of miRNA and 16S rDNA by a multiplex droplet digital PCR system for body fluid source identification.

Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by samp...

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive...

Genome Database for Vaccinium: a knowledgebase for genetics, genomics, and breeding research.

The Genome Database for Vaccinium (GDV, https://www.vaccinium.org/) is a knowledgebase serving the g...

Circulating Immune Profiles in ACTH-Dependent Cushing's Syndrome.

OBJECTIVE: ACTH-dependent Cushing's syndrome (CS) causes profound immune dysfunction and severe infe...

Experimental assessment of AI-based interactome mapping.

Genotype-phenotype relationships are mediated through intricate networks of physical and functional ...

scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.

Aging clock models have emerged as a crucial tool for measuring biological age, with significant imp...

Deep learning‑based ultra-high-resolution CT imaging of viral pneumonia at admission and after discharge.

Performance evaluation of quantum support vector machine for COVID-19 biomarker analysis.

BACKGROUND AND OBJECTIVE: Identifying key biomarkers from multi-omics data is essential for advancin...

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Resistant bacterial infections remain a major clinical challenge, often necessitating combination th...

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering f...