Infectious Disease

Molecular diagnostics in clinical microbiology: Advances, applications, and future directions.

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly...

Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza.

Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID.

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumula...

Comparative analysis of SUMO and his-tag fusion for soluble expression of the SARS-CoV-2 omicron RBD in E. coli.

The soluble expression of the SARS-CoV-2 Receptor-Binding Domain (RBD) is fundamental for manufactur...

Development and multicenter validation of a machine learning model for postoperative sepsis risk in critically Ill traumatic spinal injury patients.

OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...

Machine learning (ML) and deep learning (DL) in vaccine target selection, design, development and characterization.

Vaccination is an effective approach that saves the lives of millions of people. Computer tools and ...

Population heterogeneity revealed in morphometric analysis of densely populated microbial swarm collectives.

UNLABELLED: Uncovering cell morphology within communities is crucial to understanding how collective...

What's not to learn? AI meets parasitology.

Although artificial intelligence-particularly large-language models-receives daily attention, the ap...

Targeting the DYNLL2-PAK1 axis inhibits caspase-11-dependent pyroptosis to alleviate sepsis.

Sepsis, a life-threatening syndrome caused by dysregulated host responses to infection, lacks effect...

Wildfire smoke and dengue burden in Brazil: Evidence from a nationwide study.

Wildfire fine particulate matter (PM2.5) is an emerging health concern, yet its effects on mosquito-...

Multi-parametric magnetic resonance imaging-based radiomics for differentiation of skull base osteomyelitis from locally advanced nasopharyngeal carcinoma: a multi-center external validation study.

PURPOSE: Skull base osteomyelitis (SBO) and nasopharyngeal carcinoma (NPca) are challenging to diffe...

Integrating administrative health data and machine learning to predict ALS onset.

BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosi...

Unraveling the microbiome's role in breast cancer progression and treatment response.

The human microbiome, encompassing microbial communities in the gut and breast tissue, has emerged a...

Meta-analysis of faecal microbiome studies followed by machine learning to identify intestinal disease-specific taxonomic signatures.

Alterations in the gut microbiome have been found to be associated with both inflammatory bowel dise...

Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation.

OBJECTIVES: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) mode...

In-situ single-cell Raman spectroscopy profiling of fifteen food yeast species: Integrated viability monitoring, identification and enumeration.

Monitoring essential yeasts during fermentation remains challenging, hindering process optimization ...

Machine Learning-Augmented Graphene Transistor Biosensing: Quantitative Platform Validation and Immunotesting of Hepatitis E.

Graphene-based chips face persistent sensor-to-sensor variability due to manufacturing defects and p...

Few FDA Approved AI/ML Orthopaedic Devices Have EU MDR Equivalents or Peer-Reviewed Validation.

BACKGROUND: Artificial intelligence (AI) and machine-learning (ML) technologies are increasingly bei...

A rapid identification study of Atractylodis Macrocephalae Rhizoma and its hot processed products based on composite feature reconstruction combined with OOA-BP algorithm.

Atractylodis Macrocephalae Rhizoma (AMR) is classified as a medicinal and edible homologous food in ...

Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging.

BACKGROUND AND OBJECTIVES: Despite the significant potential of Foundation Models (FMs) in medical i...

A pilot study: Incorporating Treponema pallidum antigens into machine learning models for accurate syphilis treatment outcome assessment.

As the reliability of nontreponemal tests for evaluating syphilis treatment efficacy is increasingly...