AIMC Topic: Microbiology

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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 ...

Proceedings of the Clinical Microbiology Open 2024: artificial intelligence applications in clinical microbiology.

Journal of clinical microbiology
The Clinical Microbiology Open (CMO) is a meeting sponsored by the American Society for Microbiology (ASM) in collaboration with its Corporate Council and Clinical and Public Health Microbiology representatives, which is held to discuss topics that a...

Chat GPT, Gemini or Meta AI: A comparison of AI platforms as a tool for answering higher-order questions in microbiology.

Journal of postgraduate medicine
INTRODUCTION: Artificial intelligence (AI) platforms have achieved a noteworthy role in various fields of medical sciences, ranging from medical education to clinical diagnostics and treatment. ChatGPT, Gemini, and Meta AI are some large language mod...

Predictive microbiology through the last century. From paper to Excel and towards AI.

Advances in food and nutrition research
This chapter provides a historical perspective on predictive microbiology: from its inception till its current state, and including potential future developments. A look back to its origins in the 1920s underlies that scientists at the time had great...

Digitalization, clinical microbiology and infectious diseases.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

Phenotype annotation with the ontology of microbial phenotypes (OMP).

Journal of biomedical semantics
BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond m...

Similarity corpus on microbial transcriptional regulation.

Journal of biomedical semantics
BACKGROUND: The ability to express the same meaning in different ways is a well-known property of natural language. This amazing property is the source of major difficulties in natural language processing. Given the constant increase in published lit...

A method of inferring the relationship between Biomedical entities through correlation analysis on text.

Biomedical engineering online
BACKGROUND: One of the most important processes in a machine learning-based natural language processing is to represent words. The one-hot representation that has been commonly used has a large size of vector and assumes that the features that make u...