Flu & URI

PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) b...

Discriminating infectious and non-infectious fever after open craniotomy: a combined statistical and machine learning approach.

Computational Discovery of MERS-CoV Main Protease Inhibitors Through Screening and Molecular Dynamics Simulations.

Targeting the main protease (Mpro) of coronaviruses has emerged as a promising therapeutic strategy ...

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to bal...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam.

BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to...

Genomic evolution of SARS-CoV-2 delta variants pre- and post-omicron emergence using alignment-free machine learning models.

The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its en...

Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.

PURPOSE: Digital cough screening for COVID-19 detection shows promise, but population differences in...

Mining antibody functionality via AI-guided structural landscape profiling.

Despite substantial progress in single-cell screening techniques, antibody (Ab) repertoires still re...

Global distribution, pathogen spectrum, and invasion potential of Hyalomma anatolicum at the human-livestock interface: A systematic review, meta-analysis, and ecological niche modeling.

Hyalomma anatolicum is an efficient vector at the human-livestock interface, yet its global ecologic...

Machine learning and the role of the vaginal and fecal microbiome in miscarriage: a matched case-control study.

Miscarriage occurs in approximately 15% of all pregnancies, and recent studies have suggested a pote...

Evolutionary-Based Deep Learning Network Model using Adaptive Mixing Differential Evolution and Application in Acute Pulmonary Embolism.

INTRODUCTION: Acute pulmonary embolism (APE) is characterized by high incidence and mortality, along...

Soft selective sweeps predominate in the yellow fever mosquito Aedes aegypti.

The Aedes aegypti mosquito is a vector for human arboviruses and zoonotic diseases and therefore pos...

Predictive proteomics: Binary classification of Streptococcus pneumoniae vaccine types via MALDI-TOF MS and supervised learning algorithms.

INTRODUCTION: Laboratory surveillance of Streptococcus pneumoniae serotypes is crucial for the effec...

Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines.

The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development i...

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pa...

The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts.

Accurate vaccine demand forecasting is crucial for minimizing wastage and ensuring efficient immuniz...

Similarity of sputum mediator signatures between e-cigarette users and COPD depends on GOLD stage and type of e-cigarette: a pilot study.

There is overlap in symptoms and airway pathobiology between COPD and e-cigarette (e-cig) users. We ...

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza v...

Climate predictors of child undernutrition: Insights from a machine learning model.

BACKGROUND: Climate variability is increasingly recognized as a driver of child undernutrition, yet ...

Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data.

Poliomyelitis remains a global public health concern despite remarkable progress toward eradication....