Infectious Disease

A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing.

The widespread dissemination of misinformation and the diverse public sentiment observed during the ...

Cross-sectoral synergy governance programme for antimicrobial resistance control in China using a 'One Health' approach: study protocol for a mixed-methods study.

INTRODUCTION: Antimicrobial resistance (AMR) is a critical global public health concern, particularl...

Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants.

BACKGROUND: To develop and validate machine learning (ML)-based models to predict serious bacterial ...

AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Therapeutic and assistive exoskeletons and exosuits show promise in both clinical and real-world set...

Electroencephalogram Features Distinguish Cases of Cerebral Malaria Among Malawian Children With Fever and Coma.

BACKGROUND: In febrile comatose patients living in malaria-endemic areas, overlapping symptoms and l...

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings.

Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-...

COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors.

BACKGROUND: The COVID-19 pandemic highlighted the need to understand factors influencing individuals...

MalNet-DAF: Dual-Attentive Fusion Deep Learning Model for Malaria Parasite Classification.

Malaria remains a life-threatening disease caused by Plasmodium parasites, necessitating accurate an...

Inexpensive method for the quantitative estimation of hepatitis C virus RNA in blood plasma for low-resource settings using ML-based image intensity analysis of RT-LAMP products.

Hepatitis C virus (HCV) infection is a severe public health problem affecting nearly 3% of the world...

Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation.

Chest X-ray (CXR) imaging plays a pivotal role in the diagnosis and prognosis of viral pneumonia. Ho...

Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.

INTRODUCTION: Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacil...

2025 AMCA PRESIDENTIAL ADDRESS: BEST MANAGEMENT PRACTICES FOR TECHNOLOGY ADOPTION FOR SURVEILLANCE AND CONTROL OF MOSQUITOES1.

Each year, the American Mosquito Control Association (AMCA) annual meeting features a program design...

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from car...

Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.

BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However...

A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes.

BACKGROUND: The impact of chronic medication on COVID-19 outcomes has been a topic of ongoing debate...

Machine learning-based prediction of nitrogen-fixing efficiency in Cowpea rhizobia from the Brazilian semiarid.

This study explores the potential of machine learning to predict nitrogen fixation efficiency in rhi...

Identification of cariogenic bacteria by click chemistry mediated polyethylene glycolized graphyne nanozymes.

Dental caries, one of the most common oral diseases, is mainly induced by multiple cariogenic bacter...

Unlocking the metabolic potential of endophytic fungi through epigenetics: a paradigm shift for natural product discovery and plant-microbe interactions.

Covering: up to December 2024Microbial metabolic pathways, including those of endophytic fungi, offe...

Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.

Currently, the existing detection platforms face persistent challenges in achieving reliable bacteri...

Proactive recognition and early detection in communities through targeted HIV screening.

Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant gl...

Letter to the Editor: "Development and Validation of a Deep Learning Ultrasound Radiomics Model for Predicting Drug Resistance in Lymph Node Tuberculosis a Multicenter Study".