Infectious Disease

[The evolution of antimicrobial therapy for sepsis].

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host immune response to infe...

A Research Classification for Long COVID: Symptom Frequency and Severity Improve Accuracy of Machine Learning Models.

Long COVID definitions based solely on symptom occurrence may reduce diagnostic specificity.Machine-...

Identifying and timing patient outcomes in clinician notes using large language models.

BACKGROUND: Key challenges in leveraging unstructured clinician notes for predictive models include ...

The essential role of methylation in maize (Zea mays) defense against the seed-colonizing fungus Aspergillus flavus.

UNLABELLED: The interaction between maize (Zea mays) and Aspergillus species poses a huge threat to ...

CAMPER: mechanistic artificial intelligence for designing peptides that target MRSA persisters.

Developing short, stable, and potent antimicrobial peptides is a promising strategy to combat antibi...

Resveratrol ameliorates sepsis-induced immune dysfunction by targeting GADD45A to maintain hematopoietic stem cell homeostasis: A predictive study integrating ensemble machine learning, single-cell transcriptomics, and molecular dynamics simulation.

OBJECTIVE: To investigate the potential pharmacological mechanisms of resveratrol (RES) in ameliorat...

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also b...

Bridging immunization gaps in Sub-Saharan Africa: a narrative review of microplanning, geospatial, and machine learning approaches to reach zero-dose children and under-immunised children.

Immunization inequities persist across Sub-Saharan Africa, with significant numbers of zero-dose and...

Sociodemographic Risk Factors for Incomplete Routine Childhood Immunizations Among Children Born During the COVID-19 Pandemic, Louisiana, March 1, 2020-July 1, 2021.

OBJECTIVE: Routine childhood vaccination rates declined nationwide among children born during 2020-2...

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, espec...

De Novo Multi-Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning.

Artificial intelligence (AI)-driven discovery of antimicrobial peptides (AMPs) is yet to fully utili...

Artificial intelligence based approaches for prediction of antimicrobial resistance in ruminant host pathogens.

The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts.

Accurate vaccine demand forecasting is crucial for minimizing wastage and ensuring efficient immuniz...

Leveraging machine learning for accurate forecasting of pulmonary tuberculosis epidemics in a coastal city in China.

BACKGROUND: While pulmonary tuberculosis (PTB) remains a leading notifiable cause of death in China,...

The role of medical imaging in translational research into early pulmonary tuberculosis.

Early detection of tuberculosis (TB) is central to global efforts for TB care and prevention. Conven...

Green synthesis of silver nanoparticles using Padina tetrastromatica against malaria and deciphering the mechanism through machine learning driven metabolomics and network pharmacology.

Malaria remains a major public health challenge due to drug and insecticide resistance, underscoring...

Harnessing bacterial power and omics technologies for sustainable plastic waste biodegradation.

Plastic pollution constitutes a critical environmental concern of this era, with synthetic polymers,...

Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space.

Artificial intelligence (AI) has significantly advanced protein engineering, enabling rapid enzyme e...

Integrated microneedle patch and machine learning in time-resolved fluorescent immunochromatography test strip for accurate and rapid detection of Staphylococcus aureus enterotoxin B in salmon.

Staphylococcus aureus enterotoxin B (SEB) is a leading cause of foodborne illness. In this study, we...

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza v...

Gut microbial modulation of 3-hydroxyanthranilic acid and dopaminergic signalling influences attention in obesity.

BACKGROUND: Obesity-related alterations in the gut microbiota have been linked to cognitive decline,...