Infectious Disease

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

BACKGROUND: Chronic eosinophilic pneumonia (CEP) can occur concurrently with chronic rhinosinusitis ...

Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis.

Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeAL...

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.

Rapid identification and assessment of animal health are critical for livestock productivity, especi...

Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression.

INTRODUCTION: Aphasia is associated with impairments in written language, including difficulty with ...

Discovery of CYP1A1 Inhibitors for Host-Directed Therapy against Sepsis.

Bacterial sepsis remains a leading cause of death globally, exacerbated by the rise of multidrug res...

Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace.

Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises a...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformat...

Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic dispa...

Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections.

Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility ...

Identification of NLRP3 Inflammasome-associated Biomarkers by Integrated Bioinformatics Analysis in Neuropathic Pain.

Neuropathic pain (NP) is a chronic disease due to nerve injury, viral infections, etc. Inflammatory ...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Leveraging artificial intelligence to combat antimicrobial resistance in geriatric care.

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immuno...

Towards establishing functional nitrogenase activities within plants.

Biological nitrogen fixation, catalyzed by nitrogenase, can convert atmospheric N₂ into NH₃ for plan...

Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. Ho...

A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy.

Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by i...

Factors Influencing the Binding of HIV-1 Protease Inhibitors: Insights from Machine Learning Models.

HIV-1 protease inhibitors are crucial for antiviral therapies targeting acquired immunodeficiency sy...

Breaking the cycle of parasitic diseases with edutainment: The intersection of entertainment and education.

Parasitic diseases represent a substantial public health challenge worldwide. Traditional educationa...

Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example.

BACKGROUND: Infectious diseases, particularly COVID-19, continue to be a significant global health i...

Bracing the artificial intelligence technology in viral infectious disease control.