Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique.

In this paper the feasibility to extract the proportion of pigs located in different areas of a pig ...

Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasi...

Automatic classification of diseases from free-text death certificates for real-time surveillance.

BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen...

Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark....

Intelligent Surveillance Robot with Obstacle Avoidance Capabilities Using Neural Network.

For specific purpose, vision-based surveillance robot that can be run autonomously and able to acqui...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

NIEluter: Predicting peptides eluted from HLA class I molecules.

The immune system has evolved to make a diverse repertoire of peptides processed from self and forei...

Machine learning approaches to analysing textual injury surveillance data: a systematic review.

OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual...

Multi-center colonoscopy quality measurement utilizing natural language processing.

BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...

Autonomous surveillance for biosecurity.

The global movement of people and goods has increased the risk of biosecurity threats and their pote...

Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.

Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...

Quantifying the determinants of outbreak detection performance through simulation and machine learning.

OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak...

Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approve...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pos...

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from eme...

Lower Extremity Bypass Surveillance and Peak Systolic Velocities Value Prediction Using Recurrent Neural Networks.

Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-ped...

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