Infectious Disease

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

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Multiobjective learning and design of bacteriophage specificity.

To better understand and design proteins, it is crucial to consider the multifunctional landscapes o...

An integrated multiscale computational framework deciphers SARS-CoV-2 resistance to sotrovimab.

The emergence of resistance mutations in the SARS-CoV-2 spike (S) protein presents a challenge for m...

Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers.

In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterat...

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population.

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach.

AIM: This study aimed to determine the important features and cut-off values after demonstrating the...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction....

Identification and Experimental Validation of Biomarkers Associated With Mitochondria and Macrophage Polarization in Sepsis.

Sepsis is a common and serious condition, where mitochondria and macrophage polarization play a cru...

Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis.

OBJECTIVE: The aim of our study was to establish and validate a machine learning-based predictive mo...

Seasonal total coliform dynamics in a drinking water reservoir.

Maintaining high-quality drinking water supply reservoirs is important for protecting public health....

Climate crossroads: How global warming drives coronavirus emergence, the long COVID crisis of tomorrow, and AI's role in navigating our future.

This narrative review examines the critical nexus between climate change, coronavirus emergence, and...

A comparative analysis of dengue, chikungunya, and Zika in a pediatric cohort over 18 years.

BACKGROUND: Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosi...

Identification of Fatty Acid Metabolism Disorder-Related Gene Signature in Septic Cardiomyopathy.

BACKGROUND: Septic cardiomyopathy (SCM) is a prevalent complication of sepsis and a primary contribu...

Advanced droplet microfluidic platform for high-throughput screening of industrial fungi.

Industrial fungi are pivotal candidates for the production of a diverse array of bioproducts. To enh...

Discrimination of Respiratory Tract Infections by a Reduced Graphene Oxide Array Modified with Metal-Organic Frameworks and Metal Phthalocyanines.

As a prevalent clinical condition, it is critical to distinguish between bacterial and viral respira...

Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique.

: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is assoc...

From Preliminary Urinalysis to Decision Support: Machine Learning for UTI Prediction in Real-World Laboratory Data.

: Urinary tract infections (UTIs) are frequently diagnosed empirically, often leading to overtreatme...

Machine Learning-Based identification of resistance genes associated with sunflower broomrape.

BACKGROUND: Sunflowers (Helianthus annuus L.), a vital oil crop, are facing a severe challenge from ...

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