AIMC Topic: Communicable Diseases

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Machine learning for the meta-analyses of microbial pathogens' volatile signatures.

Scientific reports
Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of infectious diseases. However, the tools to identify microbial volatile organic compounds (VOCs) discriminating between human pathogens are still missing...

Online cross-validation-based ensemble learning.

Statistics in medicine
Online estimators update a current estimate with a new incoming batch of data without having to revisit past data thereby providing streaming estimates that are scalable to big data. We develop flexible, ensemble-based online estimators of an infinit...

An unsupervised machine learning model for discovering latent infectious diseases using social media data.

Journal of biomedical informatics
INTRODUCTION: The authors of this work propose an unsupervised machine learning model that has the ability to identify real-world latent infectious diseases by mining social media data. In this study, a latent infectious disease is defined as a commu...

The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.

Journal of biomedical semantics
BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena in infectious disease epidemiology and population biology-as part of a project whose goal is to increase the use of epidemic simulators in public heal...

AI Drug Discovery: Expanding the Horizons of Infectious Disease Therapeutics.

ACS infectious diseases
Drug discovery and development for infectious diseases has transformed from phenotypic screening to rational design, and now embracing artificial intelligence (AI) to accelerate and optimize therapeutic development. We describe our use of AI to analy...

Smartphone-Powered Automated Image Recognition Tool for Multianalyte Rapid Tests: Application to Infectious Diseases.

Analytical chemistry
Point-of-Care Testing (POCT) is rapidly increasing, providing quick, user-friendly, and portable diagnostic tools. Lateral flow assays (LFAs) have been central to POCT, administering fast and cost-effective diagnosis. However, traditional LFAs are li...

[Advances in the application of machine learning-related combined models in infectious disease prediction].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to ...

Use of an Untrained Large Language Model for Antibiotic Prescription in Pediatric Infectious Diseases at Primary Care Settings: A Study From the Italian Society for Pediatric Infectious Diseases.

The Pediatric infectious disease journal
The development of artificial intelligence systems is revolutionizing many fields of medicine, but specific studies are still missing in pediatrics. In our study, we showed that an untrained free-to-use large language model provided reliable response...

Microbial infection disease diagnosis and treatment by artificial intelligence.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
OBJECTIVE: Aim: The main objective of this study was to examine current perspectives on initiatives to identify viable approaches for more accurate diagnosis of infectious diseases.