Infectious Disease

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

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The antibacterial activity of Cornus mas L. against uropathogenic Escherichia coli strains producing extended-spectrum β-lactamase.

The emergence of uropathogenic Escherichia coli strains that produce ESBLs is a major global health ...

Artificial Intelligence Performs Well for Patient-Level Education of Benign Anorectal Conditions.

BackgroundChatGPT, the most widely recognized AI chatbot, has been increasingly utilized by patients...

MedFILIP: Medical Fine-Grained Language-Image Pre-Training.

Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data ...

Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.

In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to mak...

Comparison of hand surgery certification exams in Europe and the United States using ChatGPT 4.0.

UNLABELLED: Certification in hand surgery in Europe (EBHS) and the United States (HSE) requires a su...

Optical water typing in optically complex waters: A case study of Chesapeake Bay.

Optical water typing has been widely used in aquatic research to classify water bodies based on thei...

Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models.

OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...

Fluorescence-based spectrometric and imaging methods and machine learning analyses for microbiota analysis.

Most microbiota determination (skin, gut, soil, etc.) are currently conducted in a laboratory using ...

Beyond genomics: artificial intelligence-powered diagnostics for indeterminate thyroid nodules-a systematic review and meta-analysis.

INTRODUCTION: In recent years, artificial intelligence (AI) tools have become widely studied for thy...

Use of polyethylene glycol precipitation and ultracentrifugation to enhance the sensitivity of hepatitis B virus DNA detection.

BACKGROUND: Sensitive molecular detection of hepatitis B virus (HBV) DNA is crucial for diagnosing a...

Radiomic study of common sellar region lesions differentiation in magnetic resonance imaging based on multi-classification machine learning model.

OBJECTIVE: Pituitary adenomas (PAs), craniopharyngiomas (CRs), Rathke's cleft cysts (RCCs), and tube...

AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains.

In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata w...

Labels as a feature: Network homophily for systematically annotating human GPCR drug-target interactions.

Machine learning has revolutionized drug discovery by enabling the exploration of vast, uncharted ch...

Cangrelor and AVN-944 as repurposable candidate drugs for hMPV: analysis entailed by AI-driven in silico approach.

Human metapneumovirus (hMPV) primarily causes respiratory tract infections in young children and old...

Identification of pyroptosis-related gene S100A12 as a potential diagnostic biomarker for sepsis through bioinformatics analysis and machine learning.

Sepsis is a non-discriminatory inflammatory reaction that can result in a diverse array of organ dys...

Machine learning assisted classification of staphylococcal biofilm maturity.

An increasing incidence of device-related, biofilm-associated infections has been observed in clinic...

Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from spp.

Antimicrobial resistance (AMR) is a global threat, with species contributing significantly to diffi...

Machine Learning Predicts Regioselectivity in Pd-Catalyzed Directing Group-Assisted C-H Activation.

Regioselectivity in C-H activation is crucial for applications in pharmaceuticals and advanced mater...

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