Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Showing 295-315 of 8,018 articles
Technologies for the point-of-care diagnosis of malaria: a scoping review.

BACKGROUND: Malaria continues to pose a significant health challenge, particularly in low-resource s...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of ...

Machine learning model for prediction of coronavirus disease 2019 within 6 months after three doses of BNT162b2 in Hong Kong.

INTRODUCTION: We aimed to develop a machine learning (ML) model to predict the risk of coronavirus d...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...

Machine learning approaches for predicting antibiotic resistance genes abundance changes during biological nitrogen removal process.

Wastewater treatment plants (WWTPs) serve as reservoirs for multiple antimicrobial agents (AAs), the...

Leveraging viral genome sequences and machine learning models for identification of potentially selective antiviral agents.

Viral genome sequencing provides valuable information for antiviral development, yet its integration...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images.

Analyzing microscopy images of large growing cell samples using traditional methods is a complex and...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

Dysregulated neural coding in the vagus nerve during long sepsis.

Sepsis is a life-threatening condition characterized by organ dysfunction resulting from the body's ...

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (...

Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria.

BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...

Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach.

Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Divergence in a eukaryotic transcription factor's co-TF dependence involves multiple intrinsically disordered regions.

Combinatorial control by transcription factors (TFs) is central to eukaryotic gene regulation, yet i...

Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.

Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofoul...

Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study.

BACKGROUND: Varicella is a prevalent respiratory infectious disease. Continuous monitoring is essent...

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