Infectious Disease

A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.

Virological plaque assay is the major method of detecting and quantifying infectious viruses in rese...

Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study.

BACKGROUND: The COVID-19 pandemic has been accompanied by an "infodemic," where the rapid spread of ...

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks.

Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spr...

Exploring deep learning in phage discovery and characterization.

Bacteriophages, or bacterial viruses, play diverse ecological roles by shaping bacterial populations...

Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants.

This study presents a novel approach for the classification of coronavirus species and variants of S...

A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks.

The COVID-19 outbreak has highlighted the importance of mathematical epidemic models like the Suscep...

Transformer-based deep learning enables improved B-cell epitope prediction in parasitic pathogens: A proof-of-concept study on Fasciola hepatica.

BACKGROUND: The identification of B-cell epitopes (BCEs) is fundamental to advancing epitope-based v...

Harnessing advanced computational approaches to design novel antimicrobial peptides against intracellular bacterial infections.

Intracellular bacterial infections pose a significant challenge to current therapeutic strategies du...

Introduction to WBE case estimation: A practical toolset for public health practitioners.

Public health practitioners can use wastewater data to grasp disease dynamics, including incidence, ...

Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties.

Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an e...

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study.

BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes a...

Pathogenicity and virulence of lumpy skin disease virus: A comprehensive update.

Lumpy skin disease (LSD), which was confined to the Africa for many decades, has expanded its geogra...

Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US.

BACKGROUND: COVID-19 has been linked to acute kidney injury (AKI) and chronic kidney disease (CKD), ...

Unveiling Berberine analogues as potential inhibitors of Escherichia coli FtsZ through machine learning molecular docking and molecular dynamics approach.

The bacterial cell division protein FtsZ, a crucial GTPase, plays a vital role in the formation of t...

Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine i...

Effect of pregnancy and infancy exposure to outdoor particulate matter (PM, PM, PM) and SO on childhood pneumonia in preschool children in Taiyuan City, China.

There is currently a paucity of research on the effects of early life exposure to particulate matter...

An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values.

INTRODUCTION: Machine learning models have been employed to predict COVID-19 infections and mortalit...

Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis.

Small Ubiquitin-like MOdifier-mediated modification (SUMOylation) is associated with sepsis; however...

Role of artificial intelligence in advancing immunology.

Artificial intelligence (AI) has revolutionized various biomedical fields, particularly immunology, ...

A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.

BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities,...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.