Infectious Disease

Predicting COVID-19 Outcomes: Machine Learning Predictions Across Diverse Datasets.

Background The COVID-19 infection has spread rapidly since its emergence and has affected a large part of the global population. With the increasing number of cases, researchers are trying to predict the prognosis of patients by using different data with artificial intelligence methods such as machine learning (ML). In this study, we aimed to predict mortality risk in COVID-19 patients using ML al...

Importance of Hospital Infection Control.

The increasing demand for healthcare-acquired infection (HAI) control practices and services has intensified the need to evaluate care quality. The World Health Organization (WHO) introduced an infection prevention and control (IPC) framework to mitigate the impact of HAIs, crucial for ensuring patient safety in hospitals. HAIs acquired after hospitalization pose significant challenges due to fact...

Identification of oral therapeutics using an AI platform against the virus responsible for COVID-19, SARS-CoV-2.

This study introduces a sophisticated computational pipeline, , designed for the discovery of antiviral drugs based on their interactions within the ...

1,3,4-oxadiazole derivatives: synthesis, characterization, antifungal activity, DNA binding investigations, TD-DFT calculations, and molecular modelling.

1,3,4-Oxadiazole-based heterocyclic analogs (3a-3m) were synthesized cyclization of Schiff bases with substituted aldehydes in the presence of bromin...

Methicillin-Resistant Bacteremia Treated With Vancomycin Calculated by Area-Under-the-Curve in Patients With Elevated Vancomycin Minimum Inhibitory Concentrations.

Vancomycin is recommended as first-line treatment of methicillin-resistant (MRSA) bacteremia, dosed by area-under-the-curve (AUC) with an assumed mi...

One-Dimensional HKUST-1-Decorated Glassy Carbon Electrode for the Sensitive Electrochemical Immunosensor of NS1 Dengue Virus Serotype-3.

In this work, simple and sensitive detection of dengue virus serotype-3 (DENV-3) antigen was accomplished by a one-dimensional (1D) HKUST-1-functional...

Leveraging machine learning to distinguish between bacterial and viral induced pharyngitis using hematological markers: a retrospective cohort study.

Accurate differentiation between bacterial and viral-induced pharyngitis is recognized as essential for personalized treatment and judicious antibioti...

Phytochrome-Interacting Proteins.

Phytochromes are photoreceptors of plants, fungi, slime molds bacteria and heterokonts. These biliproteins sense red and far-red light and undergo lig...

Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.

: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, whi...

Investigating Novel IspE Inhibitors of the MEP Pathway in Mycobacterium.

In a recent effort to mitigate harm from human pathogens, many biosynthetic pathways have been extensively evaluated for their ability to inhibit path...

Methicillin-Resistant (MRSA) in a Tertiary Care Hospital in Kuwait: A Molecular and Genetic Analysis.

Methicillin-resistant (MRSA) is a major pathogen that causes serious infections in healthcare facilities and in communities. The purpose of this stud...

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis.

Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's deadliest diseases. Most deaths are among persons with TB ...

The Role of β-Defensin 1 Against Porphyromonas gingivalis Lipopolysaccharide-Mediated Inflammation in the THP-1 Cell Line.

Introduction lipopolysaccharide (Pg-LPS) is one of the crucial virulence factors of periodontitis. Antimicrobial peptides (AMPs) are emerging as alte...

View Score: An early warning score to detect possible complications among COVID-19 patients.

INTRODUCTION: Understanding pulmonary function at various phases after coronavirus disease 2019 (COVID-19) infection is critical for determining the e...

Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence.

When faced with an unidentified body, identifying the victim can be challenging, particularly if physical characteristics are obscured or masked. In r...

The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach.

In light of developing and industrialized nations, the G20 economies account for a whopping two-thirds of the world's population and are the largest e...

Determination of ertapenem in plasma and ascitic fluid by UHPLC-MS/MS in cirrhotic patients with spontaneous bacterial peritonitis.

OBJECTIVES: Spontaneous bacterial peritonitis is a frequent severe complication in cirrhotic patients with ascites. Carbapenem antibiotics are current...

essential oil nanoemulsion inhibits causing root-rot disease.

BACKGROUND: () is the primary pathogenic fungus that causes () root rot disease. To control the disease, safe and efficient antifungal pesticides mu...

Discovery of a structural class of antibiotics with explainable deep learning.

The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing antibiotic resistance crisis. Deep learning approac...

Structure-based approaches against COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review highlights the versatile roles of both classical an...