Infectious Disease

Flu & URI

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

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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree-Based Machine Learning Model.

BACKGROUND AND AIMS: A life-threatening vector-borne disease, dengue fever (DF), poses significant g...

May 2025 40352319
Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier

Early detection of asthma in children is crucial to prevent long-term respiratory complications an...

Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence

Methods to detect the emergence of infectious diseases, and approach to the "critical transition" ...

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models

Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...

A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines

The practice of pharmacovigilance relies on large databases of individual case safety reports to d...

Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification

Background: Lung disease is a significant health issue, particularly in children and elderly indiv...

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...

Analysis of 3D Urticaceae Pollen Classification Using Deep Learning Models

Due to the climate change, hay fever becomes a pressing healthcare problem with an increasing numb...

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...

(2)
Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...

MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin

Fever of unknown origin FUO remains a diagnostic challenge. MedMimic is introduced as a multimodal...

Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection

This study presents a comprehensive review of the potential of multimodal deep learning (DL) in me...

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.

The viruses threats provoke concerns regarding their sustained epidemic transmission, making the dev...

(2)
Jan 2025 40323648
Signatures of soft selective sweeps predominate in the yellow fever mosquito Aedes aegypti

The Aedes aegypti mosquito is a vector for human arboviruses and zoonotic diseases, such as yellow f...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

CoV-UniBind: A Unified Antibody Binding Database for SARS-CoV-2

Since the emergence of SARS-CoV-2, numerous studies have investigated antibody interactions with vir...

WaveSeekerNet: Accurate Prediction of Influenza A Virus Subtypes and Host Source Using Attention-Based Deep Learning

Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to ov...

Mapping antigenic evolution of influenza A virus using deep learning-based prediction of hemagglutination inhibition titers

Seasonal influenza remains a significant public health challenge through unpredictable antigenic dri...

Reengineering the antigen optimization process for superior neoantigen vaccine design

Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...

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