Infectious Disease

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

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Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.

AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...

Harnessing lactic acid bacteria for nicotinamide mononucleotide biosynthesis: a review of strategies and future directions.

Nicotinamide mononucleotide (NMN), one of the crucial precursors of nicotinamide adenine dinucleotid...

extract in combination with lytic phage cocktails: a promising therapeutic approach against biofilms of multi-drug resistant .

Antimicrobial resistance (AMR) poses a significant global threat to public health systems, rendering...

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach.

BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcom...

The native Iranian soil bacteria with high potential to produce extracellular methionine gamma-lyase.

This study aimed to screen native methionine gamma-lyase (L-methioninase) producing bacteria from so...

Chemical-functional characterization of and and dietary supplementation in post-weaning pigs.

INTRODUCTION: As the livestock industry grapples with the need for sustainable land, maintaining pro...

Systematic evaluation of machine learning models for postoperative surgical site infection prediction.

BACKGROUND: Surgical site infections (SSIs) lead to increased mortality and morbidity, as well as in...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze,...

Antibiotic SERS spectral analysis based on data augmentation and attention mechanism strategy.

The analysis of Raman spectrum data has gradually transitioned into the era of machine learning. How...

Development of deep learning-based mobile application for the identification of Coccidia species in pigs using microscopic images.

Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isosp...

Development and validation of interpretable machine learning models for postoperative pneumonia prediction.

BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses signific...

Bacteriological load in Holstein Friesian cows with dystocia.

The research took place on a farm in North-Eastern Romania with Holstein Friesian cows aged between ...

Possible biocontrol of bacterial blight in pomegranate using native endophytic spp. under field conditions.

Bacterial blight in pomegranate, caused by pv. (Xcp), is one of the most devastating diseases, lea...

Machine learning algorithms for the early detection of bloodstream infection in children with osteoarticular infections.

BACKGROUND: Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patie...

Diagnosis of infections using artificial intelligence techniques versus standard microscopy in a reference laboratory.

Diagnosing malaria using standard techniques is time-consuming. With limited staffing in many labora...

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