Infectious Disease

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

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Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and health...

ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis.

Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate trea...

Predictive survival modelings for HIV-related cryptococcosis: comparing machine learning approaches.

INTRODUCTION: HIV-associated cryptococcosis is marked by unpredictable disease trajectories and pers...

The application of machine learning in clinical microbiology and infectious diseases.

With the development of artificial intelligence(AI) in computer science and statistics, it has been ...

The future of HIV diagnostics: an exemplar in infectious diseases.

Over the past 40 years, diagnostics have become the backbone of HIV prevention, treatment, and reten...

Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care.

BACKGROUND: The aim of our study was to determine whether the application of machine learning could ...

Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning.

Bacterial detection and classification are critical challenges in healthcare, environmental monitori...

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...

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