Infectious Disease

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

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Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.

Microscopy and image analysis play a vital role in parasitology research; they are critical for iden...

Exploring Antimalarial Activity of Drugs using Weighted Atomic Vectors and Artificial Intelligence.

BACKGROUND OBJECTIVES: Malaria is a global health issue, causing over two million deaths annually. T...

Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset.

With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...

Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).

The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and li...

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.

Viral infections have long been a core focus in the field of public health. Antiviral peptides (AVPs...

Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemi...

The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.

Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a ...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public h...

A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as condu...

Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and Lesotho.

There is growing evidence of the performance accuracy and potential impact of Computer-Aided Diagnos...

Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq.

BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of ...

Machine learning-optimized bioprocess for macroidin production by Lysinibacillus macroides and its biomedical applications.

The quest for solutions to infectious diseases and life-debilitating disease states has been ongoing...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis...

Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning.

Breast self-examination is a very cost-reducing approach that significantly decreases the cost burde...

Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B.

Staphylococcal enterotoxin B (SEB) holds critical importance in disease diagnosis, food safety, and ...

Phage Ge15, NRG-P0073: Genomic Characterization and Host Range Analysis Against the ECOR Reference Library.

BACKGROUND: Genomic sequencing and annotation, morphological characterization, and host range analys...

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