Infectious Disease

Swine Flu

Latest AI and machine learning research in swine flu for healthcare professionals.

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LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM...

Pan-cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells.

Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...

β-lactam resistance: epidemiological trends, molecular drivers, and innovative control strategies in the post-pandemic era.

SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremi...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

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-...

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...

Oropouche fever outbreak in Brazil: Key factors behind the largest epidemic in history.

Oropouche virus (OROV) is an arthropod-borne virus responsible for outbreaks of Oropouche fever (ORO...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evi...

Comparative evaluation of ChatGPT and LLaMA for reliability, quality, and accuracy in familial Mediterranean fever.

UNLABELLED: Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease...

The role of artificial intelligence for dengue prevention, control, and management: A technical narrative review.

Dengue fever remains a significant global health threat, particularly in tropical and subtropical re...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Machine learning approaches to dissect hybrid and vaccine-induced immunity.

BACKGROUND: The spread of SARS-CoV-2 Omicron variant and its subvariants, highly transmissible but r...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Discrimination of Dengue Diseases in Children Using Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Approaches.

This study introduces a novel approach to dengue diagnostics by leveraging surface-enhanced Raman sp...

Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds.

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD), a progressively worsening re...

Automated identification of spotted-fever tick vectors using convolutional neural networks.

Ticks are key ectoparasites for the One Health approach, as they are vectors of pathogens that infec...

Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.

Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and ris...

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