Infectious Disease

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

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DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus.

The integration of Artificial Intelligence (AI) techniques with medical kits has revolutionized dise...

Pre-trained molecular representations enable antimicrobial discovery.

The rise in antimicrobial resistance poses a worldwide threat, reducing the efficacy of common antib...

Antimicrobial resistance: Linking molecular mechanisms to public health impact.

BACKGROUND: Antimicrobial resistance (AMR) develops into a worldwide health emergency through geneti...

Ivermectin performance against equine strongylids: Efficacy, egg reappearance periods, and fecal egg counting method comparison.

Equine strongylids are ubiquitous and can cause severe health issues. Anthelmintic resistance is wid...

Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?

Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of i...

Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms.

Mapping and classifying the probability of occurrence of Populus tremula L. (aspen) in boreal forest...

Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated delirium.

This study aimed to develop models for predicting the 30-day mortality of sepsis-associated delirium...

Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.

OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representa...

Subtractive genomics approach: A guide to unveiling therapeutic targets across pathogens.

Subtractive genomics is an adaptable bioinformatics technique that is used to identify potential the...

A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial.

Conversational artificial intelligence, in the form of chatbots powered by large language models, of...

An integrated AI knowledge graph framework of bacterial enzymology and metabolism.

The study of bacterial metabolism holds immense significance for improving human health and advancin...

Deep Learning-Based Comparative Prediction and Functional Analysis of Intrinsically Disordered Regions in SARS-CoV-2.

This study explores the role of intrinsically disordered regions (IDRs) in the SARS-CoV-2 proteome a...

Clinical microbiology and artificial intelligence: Different applications, challenges, and future prospects.

Conventional clinical microbiological techniques are enhanced by the introduction of artificial inte...

Febrile neutropenia management in high-risk neutropenic patients: a narrative review on antibiotic prophylaxis and empirical treatment.

INTRODUCTION: Although febrile neutropenia (FN) remains a major cause of morbidity and mortality in ...

Robot-assisted ultrasound probe calibration for image-guided interventions.

BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time ...

C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images.

Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitat...

Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

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