Flu & URI

Developing an artificial intelligence-powered question-and-answer chatbot with English-Spanish capabilities for new mothers.

OBJECTIVES: Generative AI chatbots are revolutionizing health education by making complex informatio...

Dengue fever prediction based on meteorological features and deep learning models.

The dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), an...

Molecular diagnostics in clinical microbiology: Advances, applications, and future directions.

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly...

Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza.

Wildfire smoke and dengue burden in Brazil: Evidence from a nationwide study.

Wildfire fine particulate matter (PM2.5) is an emerging health concern, yet its effects on mosquito-...

Artificial intelligence in chronic obstructive pulmonary disease: recent advances in imaging and physiological monitoring.

PURPOSE OF REVIEW: Chronic obstructive pulmonary disease (COPD) is a leading cause of worldwide morb...

Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and se...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approache...

Machine learning-assisted sensing platform for simultaneous and visual detection of tetracycline hydrochloride and ofloxacin.

Antibiotics are essential in modern medicine; however, their overuse and improper disposal have caus...

Machine Learning-Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy.

BACKGROUND: Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic...

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk facto...

When AI Joins the Social Media Conversation: Exploring the Impact of Simulated AI-Assisted Comments on Health Risk Perceptions and Behaviors.

Misinformation on social media has long been a pressing concern, and its spread is often exacerbated...

Elucidating anti-triple-negative breast cancer mechanisms and mitigating toxicity of Fritillaria thunbergii Miq.: A multi-omics and network pharmacology approach.

ETHNOPHARMACOLOGICAL RELEVANCE: Fritillaria thunbergii Miq. (Zhebeimu, ZBM) is traditionally recogni...

AI-driven diagnosis of Lassa fever: Evidence from Nigerian clinical records.

BACKGROUND: Neglected Tropical Diseases (NTDs), particularly Lassa fever, remain a significant publi...

Cancer vaccines: Discovery, development, and challenges for clinical translation.

Cancer vaccines stimulate antitumor immunity by delivering tumor antigens and, in recent years, have...

QDCRNet: Quantum dilated convolutional recurrent network for virus detection using gene expression data.

Viral Infections cause several common human illnesses, like the common cold, flu, mouth blisters, an...

Crafting an innovative one health-aligned machine learning framework for neglected tropical diseases elimination.

INTRODUCTION: Strategic investment in new interventions is crucial for controlling and eliminating N...

Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries.

BACKGROUND: The COVID-19 pandemic highlighted significant disparities in vaccine distribution, parti...

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...

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...

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...