Latest AI and machine learning research in infectious disease for healthcare professionals.
The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling o...
In the ongoing effort to study the SARS-CoV-2 virus and COVID-19 disease, assessment of the T cell i...
BACKGROUND: Celiac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary...
BACKGROUND: Declines in childhood vaccination in the U.S. have contributed to a resurgence of vaccin...
BACKGROUND: Investments in health artificial intelligence (AI) are accelerating across European Unio...
Eimeria tenella is one of the most prevalent species of Eimeria that infects chickens causing coccid...
The growing demand for safe, sustainable, and clean-label food preservation strategies has accelerat...
BACKGROUND: Liver cirrhosis (LC) is a chronic liver disease with global prevalence. Current diagnost...
Predicting protein variant effects is a key challenge in preparing for pathogenic viral strains, und...
BackgroundAccurate prediction of short-term mortality in sepsis patients is critical for timely clin...
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can...
To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-s...
OBJECTIVE: Sepsis is a potentially fatal systemic response to infection, in which early clinical int...
Node influence prediction is fundamental to epidemic control, viral marketing, and infrastructure re...
This study aimed to develop an interpretable machine learning model for predicting in-hospital morta...
Optical neural networks (ONNs) offer ultrafast and energy-efficient artificial intelligence, yet the...
Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional d...
Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that c...
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) enables ...
This study applied data-driven machine learning to optimise the generation of meaty flavour from Mai...
BACKGROUND: Monitoring antibiotic consumption and resistance is central to antimicrobial stewardship...