Infectious Disease

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

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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.

The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnA...

Discovery of Active Ingredient of Yinchenhao Decoction Targeting TLR4 for Hepatic Inflammatory Diseases Based on Deep Learning Approach.

Yinchenhao Decoction (YCHD), a classic formula in traditional Chinese medicine, is believed to have ...

Antimicrobial efficacy of an experimental UV-C robot in controlled conditions and in a real hospital scenario.

BACKGROUND: Among no-touch automated disinfection devices, ultraviolet-C (UV-C) radiation has been p...

Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis.

The Nugent score is a commonly used diagnostic tool for bacterial vaginosis. However, its accuracy d...

Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South Korea.

This study addresses the critical public health issue of fecal coliform contamination in the four ma...

Analysis and prediction of infectious diseases based on spatial visualization and machine learning.

Infectious diseases are a global public health problem that poses a threat to human society. Since t...

Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer.

Early Diagnosis of oral cancer is very important and can save you from some oral malignancies. Howev...

Interpretation of Bacterial Smears and Cultures Using Artificial Intelligence.

The use of artificial intelligence (AI) to aid in the diagnosis of infectious diseases is a growing ...

Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm.

This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients i...

Deep learning pipeline for accelerating virtual screening in drug discovery.

In the race to combat ever-evolving diseases, the drug discovery process often faces the hurdles of ...

Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

BACKGROUND: Little is known about the determinants of disease progression among African patients wit...

A Single-Cell Interrogation System from Scratch: Microfluidics and Deep Learning.

Live-cell imaging using fluorescence microscopy enables researchers to study cellular processes in u...

Small Molecule Inhibitors of Topoisomerase I Identified by Machine Learning and In Vitro Assays.

Tuberculosis (TB) caused by is a leading infectious cause of death globally. The treatment of patie...

Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.

OBJECTIVE: The objective was to establish a machine learning-based model for predicting the occurren...

Role of artificial intelligence in early diagnosis and treatment of infectious diseases.

Infectious diseases remain a global health challenge, necessitating innovative approaches for their ...

Neural network-based predictions of antimicrobial resistance phenotypes in multidrug-resistant from whole genome sequencing and gene expression.

Whole genome sequencing (WGS) potentially represents a rapid approach for antimicrobial resistance g...

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