Infectious Disease

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 ...

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

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

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...

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...

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

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

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...

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.

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...

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...

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...

Towards establishing functional nitrogenase activities within plants.

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

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...

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...

Diagnosis and management of Candida endophthalmitis and chorioretinitis.

BACKGROUND: Candida endophthalmitis (CE) and chorioretinitis are uncommon but potentially devastatin...

Bracing the artificial intelligence technology in viral infectious disease control.

A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.

BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...

AM-DMF-ddRPA: an All-in-One Digital Microfluidic Platform for Rapid and Automatic Digital Nucleic Acid Analysis.

Accurate nucleic acid quantification analysis (NQA) is crucial for disease treatment and prevention....

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An In Silico Approach.

The increasing incidence of antimicrobial resistance is becoming a serious concern worldwide and req...