Infectious Disease

Fcer1g and St3gal1: Macrophage-associated angiogenesis biomarkers and therapeutic targets in sepsis-induced acute lung injury.

BACKGROUND: Acute lung injury (ALI) involves the release of growth factors and inflammatory mediator...

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study.

BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection t...

Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for ...

Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence.

Tuberculosis (TB), a global infectious disease, poses a formidable challenge to Taiwan, China, exace...

New treatments to rabies virus infections.

Rabies disease is the deadliest of all virus infections. Till now, vaccination is the most effective...

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortali...

Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment.

BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particul...

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the prod...

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV.

Endothelial dysfunction is an important risk factor for the progression of sepsis. The simplified en...

Peroxidase-Mimicking Nanozymes for Rapid Detection of Infectious Diseases.

Infectious diseases pose a critical global health threat, and rapid and sensitive diagnostics are es...

Multicounty Outbreak of Salmonella Agbeni Linked to Ice in a Cooler at a County Fair - Illinois, August 2024.

On August 5, 2024, the Brown County (Illinois) Health Department (BCHD) was informed by the county s...

A novel hybrid model for species distribution prediction of soil-transmitted helminthiasis (STH) under soil temperature conditions using Random Forest and Particle Swarm Optimization Algorithm.

Soil Transmitted Helminthiases (STH) are among the most common neglected tropical diseases in Nigeri...

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scien...

Development and validation of a predictive model for profiling antibiotic resistance phenotypes of Acinetobacter baumannii strains via clinical MALDI-TOF mass spectra: A multicenter study.

Acinetobacter baumannii is a significant pathogen responsible for healthcare-acquired infections (HA...

Operationalizing Sepsis Definitions With Artificial Intelligence: Toward Smarter Antibiotic Use.

EXPRESS: A Sentiment Analysis Study for Reflecting Society Insights on COVID-19 Vaccine Mid-Term Side Effects.

Social media discourse has the capacity to influence public perceptions of health-related issues. Un...

Microbial fermentation of cereals: nutritional, techno-functional, and compositional transformations toward data-driven process optimization.

Cereal fermentation represents a cornerstone of food bioprocessing that transforms staple grains int...

Discovery of H2 Receptor Antagonists as Colistin Enhancers by Targeting Acid Stress Response.

Plasmid-mediated colistin resistance gene mcr has markedly diminished the effectiveness of colistin ...

The chemical design of antimicrobial ionic liquids guided by machine learning: a review on balancing efficacy and toxicity.

The design of new antimicrobial materials is a critical challenge in chemistry and materials science...

A machine learning model for prediction of early-onset neonatal sepsis in low-income and middle-income countries: development and validation study.

OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fa...