AIMC Topic: Communicable Diseases

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From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillance.

Water research
Wastewater-based epidemiology (WBE) has emerged as a promising complementary tool in infectious diseases surveillance systems, offering real-time insights into the disease dynamics across various spatial coverage. By leveraging wastewater data, a wid...

Legal questions of AI-generated immunological products for infectious diseases.

Human vaccines & immunotherapeutics
Artificial intelligence (AI) has potential to surpass human capabilities to reshape vaccine design. However, its integration raises legal, ethical, and intellectual property challenges. Transparency in AI-driven immunological products is crucial for ...

Gaussian process modelling of infectious diseases using the Greta software package and GPUs.

Journal of theoretical biology
Gaussian process are a widely-used statistical tool for conducting non-parametric inference in applied sciences, with many computational packages available to fit to data and predict future observations. We study the use of the Greta software for Bay...

Machine learning-based identification of a transcriptomic blood signature discriminating between systemic autoimmunity and infection.

Med (New York, N.Y.)
BACKGROUND: Pathogenic responses against self and foreign antigens in systemic autoimmunity and infection, respectively, engage similar immunologic components, thus lacking distinguishing diagnostic biomarkers. Herein, we tested whether whole-blood t...

Pathogen virulence genes: Advances, challenges and future directions in infectious disease research (Review).

International journal of molecular medicine
Pathogens, including bacteria, viruses and fungi, employ virulence genes to invade their hosts, circumvent immunity and induce diseases. The present review examines the categorization and regulatory mechanisms of virulence genes and their co‑evolutio...

A fourfold pathogen reference ontology suite.

Journal of biomedical semantics
BACKGROUND: Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease Ontology (IDO) and its extensions, such as the Coronavirus I...

Machine learning-enhanced SERS diagnostics: Accelerating the AI-powered transition from laboratory discoveries to clinical practice.

Computers in biology and medicine
Surface-enhanced Raman spectroscopy (SERS) has emerged as a transformative analytical tool in disease diagnostics, offering unparalleled sensitivity and molecular fingerprinting capabilities. However, its clinical translation is hindered by the inher...

Celluloepidemiology-A paradigm for quantifying infectious disease dynamics on a population level.

Science advances
To complement serology as a tool in public health interventions, we introduced the "celluloepidemiology" paradigm where we leveraged pathogen-specific T cell responses at a population level to advance our epidemiological understanding of infectious d...

The application of machine learning in clinical microbiology and infectious diseases.

Frontiers in cellular and infection microbiology
With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious diseases, in which machine learning has created inroads ...

Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model.

Journal of infection and public health
BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza, norovirus, severe fever with thrombocytopenia syndrome (SFTS), and tsutsugamushi disease, in the Republic of Korea from 2005 to 2023. It also examine...