Flu & URI

AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.

The ability to reliably predict protective immunity against infectious diseases remains a central challenge in immunology, vaccine development, and public health. Despite major advances in immunological measurement, immunity prediction has historically relied on simplified correlates most notably antibody titers that often fail to generalize across pathogens, populations, and time. The emergence o...

Pediatric post-acute sequelae of SARS-CoV-2 infection in Taiwan: Insights from the DISCOVER cohort.

The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by symptoms persisting beyond the acute phase. In Taiwan, where early public health measures initially contained the pandemic, the 2022 Omicron surge prompted focused investigation into pediatric PASC, highlighting the critical need for longitudinal data...

Advances in rapid microbiological testing for animal diseases: A review.

Animal pathogenic microorganisms destabilize livestock economies and jeopardize human health through zoonotic transmission and foodborne illness. Trad...

Development and validation of a serum microRNA biomarker panel for bovine Johne's disease.

Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD manage...

Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.

Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies dep...

Application of artificial neural networks to solve differential equations in Zika virus dynamics with exponential kernel derivatives.

The Zika virus is a relatively new pathogen that has quickly become a major issue in virology. Infectious mosquitoes of the Aedes genus, particularly ...

Advancing poultry health: A meta-analysis of epitope-based and peptide-based vaccines against Avian Pathogenic E. coli with machine learning insights.

INTRODUCTION: Avian Pathogenic Escherichia coli (APEC) causes colibacillosis in poultry, which leads to tremendous economic losses. Traditional contro...

Vaccination attitudes and intentions reported by Canadian children and their parents in the CHILD Cohort Study during the COVID-19 pandemic.

BACKGROUND: Understanding if and how vaccination attitudes are shared among family members can help inform strategies to increase uptake. We assessed ...

High-resolution automated mapping of potential Aedes larval container habitats using drone imagery and supervised machine learning in Dar es Salaam, Tanzania.

Larval source management is a key strategy to control the spread of Aedes-borne viral diseases including dengue, Zika, chikungunya, and yellow fever. ...

Detection of maxillary sinusitis of endodontic origin in cone-beam CT images using deep learning algorithms.

Cone-Beam Computed Tomography (CBCT) scans were retrospectively collected and examined to acquire a balanced dataset representative of Normal Maxillar...

Development of a clinical prediction model using digital device data for interstitial lung disease in patients with unresectable stage III non-small cell lung cancer treated with durvalumab.

BACKGROUND: Early detection of interstitial lung disease including radiation pneumonitis (ILD/RP) is crucial in consolidative durvalumab therapy after...

Multi-epitope tick vaccines: From computational design to field deployment, immunoinformatics approaches, validation challenges, and translational pathways.

Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional ...

T-cell-mediated immunity to influenza A (H2N3): implications for caccine efficacy and cross-subtype protection.

Influenza A viruses pose a significant pandemic threat, with H2N3 in particular representing a subtype of particular concern due to limited population...

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes ...

Machine learning identification of maternal inflammatory response and systemic inflammatory response from placental membrane whole slide images.

INTRODUCTION: The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Acute placental inflammation in the membranes...

Development, validation, and implementation of the antibody-secreting cell maturity index: Universal prediction of human plasma cell maturity.

Defining the maturity of long-lived antibody-secreting cells (ASCs) is important for vaccine optimization and research into autoimmune diseases, but c...

A qualitative study to inform the design and implementation of AI-driven diagnosis: Challenges, barriers, and clinical insights of physicians.

INTRODUCTION: Acute febrile illnesses are significant clinical challenge in tropical regions due to overlapping symptomatology among infections such a...

Integrating ARIMA and Deep Learning Models for Counterfactual Evaluation of Nirsevimab's Early Impact on RSV Infant Admissions.

This study presents a hybrid modelling framework that integrates classical statistical methods (ARIMA) with deep learning architectures to enhance lon...

Kernel Density Estimation of Wearable Signals to Predict Preoperative Cancellation Risk.

Digital health approaches that leverage consumer wearables and machine learning offer scalable means to detect acute illness pre-symptomatically, enab...

Predicting COVID-19 Vaccination Decision-Making Profiles Among Dutch Adults: From Survey to National Administrative Data.

Individual's vaccination behaviors are influenced by factors such as values and beliefs. Applying latent class analysis (LCA) to such factors from the...