Infectious Disease

Machine learning algorithms to predict the risk of hyperlipidemia in people living with HIV after starting HAART for 6 months.

OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyperlipidemia in people living with HIV (PLWHs) for 6 months after starting highly active antiretroviral therapy (HAART), to improve early intervention efforts and prevent further progression to cardiovascular and cerebrovascular diseases.

Evaluation of Fourier-Transform Infrared Spectroscopy with IR Biotyper system for Streptococcus pneumoniae serotyping.

PURPOSE: Streptococcus pneumoniae is an important human pathogen and its virulence is centered on the expression of a polysaccharide capsule. Serotyping pneumococci has clinical and epidemiological relevance. As the gold standard (Quellung reaction) is expensive and somehow laborious, alternative methodologies for timely serotyping are desirable. We aimed to evaluate IR Biotyper (Bruker), which is...

Deep learning based multi attribute evaluation for holistic student assessment in physical education.

The evaluation of students in physical education remains a formidable challenge due to the limitations of traditional assessment approaches, which are...

Metabolic signature of COVID-19 progression: potential prognostic markers for severity and outcome.

INTRODUCTION: There are significant challenges remain in accurately categorizing the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV...

Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with severe or critical COVID-19 by analyzing clinical ...

Correction: Tuan, D.A. Leveraging Climate Data for Dengue Forecasting in Ba Ria Vung Tau Province, Vietnam: An Advanced Machine Learning Approach. 2024, , 250.

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Paper-based SERS chip with adaptive attention neural network for pathogen identification.

High-speed and accuracy identification of pathogens has become increasingly critical in both individual patient care and public health. Artificial int...

Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experie...

A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocom...

Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.

Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level health monitoring, particularly during the COVID-19 p...

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties.

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but identifying immunogenic epitopes is challenging. T...

Exploring the Essential Competencies for Medical Education in the Post-COVID-19 Pandemic Era: A Mixed-Methods Investigation at a Japanese Medical School.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to considerable advances in medical education through technological integration. ...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. Oncolytic vaccinia viruses express IL-2, IL-10, IL...

12-Month trajectories of physical and mental symptom scores after COVID-19 hospitalization and their role in predicting "very long" COVID.

BACKGROUND: Long COVID syndrome (LCS) represents a significant global health challenge due to its wide-ranging physical and cognitive symptoms that pe...

Cross-species AI: shifting a convolutional neural network from pigs to lambs to detect pneumonia at slaughter.

Abattoir-based data are widely regarded as suitable tools to estimate farm animals' health and welfare during the entire lifecycles. However, the syst...

Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.

OBJECTIVE: To explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an imp...

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee joints in non-athletic healthy Chinese adults aids...

Challenges and Opportunities: Interplay between Infectious Disease and Antimicrobial Resistance in Medical Device Surface Applications.

Antimicrobial resistance (AMR) is a growing silent pandemic driven by multidrug-resistant infections, particularly those associated with medical devic...

A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study.

BACKGROUND: Smoking is a leading cause of preventable death, and people with HIV have higher smoking rates and are more likely to experience smoking-r...

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples.

It is estimated that approximately 15% of cancers worldwide can be linked to viral infections. The viruses that can cause or increase the risk of canc...