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AI and Immunoinformatics

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Artificial Intelligence in Medicine

Abstract

In the last decade, artificial intelligence (AI) has revolutionized many scientific areas. Due to huge amount of data being generated in biomedical fields, AI has been a crucial computational tool to improve predicting modeling and simulation. AI can find hidden pattern in biological data (genomic, proteomic, transcriptomic, small molecules, etc.) and connect the unknown parts of a big puzzle. Immune system is for sure one of the most complicated molecular networks in human body. A good question would be how these immune cells and proteins recognize the normal inner cells from other foreign or abnormal cells (infected or cancerous cells) and viruses. For many years, scientists have been working to answer this question in detail. Understanding the immune system is equal to ability to trigger it against strong viruses and bacteria. AI has been hel** scientists in the field immunoinformatic and vaccine discovery to improve the efficacy of predicted epitopes. However, dealing with immunological data has been very challenging, and the representation of each sample has not been easy. In this chapter, we discuss how AI started to improve vaccinology and how it will be leading the future of computational vaccine development and immunoinformatic.

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Authors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Arash Keshavarzi Arshadi & Milad Salem

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  1. Arash Keshavarzi Arshadi
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  2. Milad Salem
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Correspondence to Arash Keshavarzi Arshadi .

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Editors and Affiliations

  1. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden

    Niklas Lidströmer

  2. Imperial College London, London, UK

    Hutan Ashrafian

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Keshavarzi Arshadi, A., Salem, M. (2022). AI and Immunoinformatics. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-64573-1_113

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  • DOI: https://doi.org/10.1007/978-3-030-64573-1_113

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