Flu & URI

Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromic surveillance tools, including the WHO Severe Acute Respiratory Infection definition, demonstrate limited diagnostic accuracy in children whose symptom profiles vary widely. This study aimed to develop a machine learning (ML) model to predict microb...

Bridging ensemble model and public health practice: an approach for refining understanding of seasonal dengue transmission patterns in Bangladesh.

BACKGROUND: Dengue fever remains a persistent public health threat in Dhaka, Bangladesh, necessitating effective early warning systems to enable timely interventions and mitigate impacts. This study develops and evaluates modeling approaches to produce a projection of the 2026 dengue season in Dhaka, which may help inform public health preparedness. METHODS: Daily dengue case data from Dhaka (Janu...

Unveiling Viral Escape Mechanisms With Machine Learning: A Transformative Approach to Mutation Analysis for SARS-CoV-2 and Beyond.

Persistent viruses like Influenza, HIV, and Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasti...

External validation of cough-based algorithms for pulmonary tuberculosis screening from the CODA TB DREAM challenge using cough data from Peru.

The COugh Diagnostic Algorithm for Tuberculosis (CODA TB) DREAM Challenge recently evaluated the performance of artificial intelligence (AI) algorithm...

Computational models for the classification of antibody specificity using heavy chain features.

BACKGROUND: Antibodies play a critical role in immune defense, with their antigen specificity primarily governed by the unique sequences of their heav...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Nanomedicine carrier-based combined antitumor strategy integrating phototherapy and immunotherapy.

INTRODUCTION: The combination of phototherapy (PTT/PDT) and immunotherapy holds promise for cancer treatment but is hindered by poor spatiotemporal co...

Synonymous mutations in viral evolution and vaccine design.

Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...

A real-time early warning system to anticipate respiratory disease outbreaks using transfer learning.

Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizations annually, yet current surveillance systems lag...

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...

Global whole-genome, phylodynamic, and machine-learning analysis of Glaesserella parasuis serovars 2, 5, and 12.

Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 ...

Machine-learning algorithms to identify key practices contributing to variation in biosecurity levels on Japanese commercial swine farms.

Transboundary diseases, such as African swine fever, pose significant threats to the Japanese swine industry, making robust biosecurity essential. How...

Early laboratory-based differentiation of severe influenza pneumonia and influenza-associated encephalopathy in children using a multi-model, stability-aware machine-learning workflow: a single-center retrospective cohort study.

BACKGROUND: Influenza-associated encephalopathy and acute necrotizing encephalopathy (ANE) are rare but devastating complications of pediatric influen...

Partisan differences in childhood measles vaccination and general refusals: a retrospective cohort study of electronic health records in the United States, 1988-2024.

BACKGROUND: Vaccination remains one of the most effective public health tools globally. Yet recent years have seen increasing political polarization a...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustain...

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplasma pneumoniae pneumonia (MPP) complicated by bacte...

Concepts of RNA virus evolution for the design of better antiviral countermeasures.

This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...

Convolutional neural network analysis of cervical CT images: classification of Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis.

BACKGROUND: Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis are common diseases affecting the head and neck. The causes and treatment metho...

In-depth serum proteomics atlas of COVID-19 defines a Severity-Resistance Index from a four-protein panel for disease severity and prognosis.

BACKGROUND: COVID-19 exhibits seasonal epidemics with high risk of mortality in vulnerable population. Identifying accurate parameters for predicting ...

Comparative analysis of traditional and deep learning time series architectures for influenza A infectious disease forecasting.

Influenza A remains a major cause of respiratory mortality worldwide, motivating accurate forecasting to support timely preparedness and resource allo...