<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of interactions have been boosted by a spectrum of “omics” technologies that have generated huge amounts of data that have reached the status of big data (BD). With recent developments in artificial intelligence (AI), theoretical and clinical breakthroughs could emerge. Analyses of large data sets with AI tools will allow the formulation of new testable hypotheses open new research avenues and provide innovative strategies for regulating immunity and treating immunological diseases. This includes diagnosis and identification of rare diseases, prevention and treatment of autoimmune diseases, allergic disorders, infectious diseases, metabolomic disorders, cancer, and organ transplantation. However, ethical and regulatory challenges remain as to how these studies will be used to advance our understanding of basic immunology and how immunity might be regulated in health and disease. This will be particularly important for entities in which the complexity of interactions occurring at the same time and multiple cellular pathways have eluded conventional approaches to understanding and treatment. The analyses of BD by AI are likely to be complicated as both positive and negative outcomes of regulating immunity may have important ethical ramifications that need to be considered. We suggest there is an immediate need to develop guidelines as to how the analyses of immunological BD by AI tools should guide immune-based interventions to treat various diseases, prevent infections, and maintain health within an ethical framework.</p>
</abstract>

The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of interactions have been boosted by a spectrum of “omics” technologies that have generated huge amounts of data that have reached the status of big data (BD). With recent developments in artificial intelligence (AI), theoretical and clinical breakthroughs could emerge. Analyses of large data sets with AI tools will allow the formulation of new testable hypotheses open new research avenues and provide innovative strategies for regulating immunity and treating immunological diseases. This includes diagnosis and identification of rare diseases, prevention and treatment of autoimmune diseases, allergic disorders, infectious diseases, metabolomic disorders, cancer, and organ transplantation. However, ethical and regulatory challenges remain as to how these studies will be used to advance our understanding of basic immunology and how immunity might be regulated in health and disease. This will be particularly important for entities in which the complexity of interactions occurring at the same time and multiple cellular pathways have eluded conventional approaches to understanding and treatment. The analyses of BD by AI are likely to be complicated as both positive and negative outcomes of regulating immunity may have important ethical ramifications that need to be considered. We suggest there is an immediate need to develop guidelines as to how the analyses of immunological BD by AI tools should guide immune-based interventions to treat various diseases, prevent infections, and maintain health within an ethical framework.

Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities

Department of Microbiology and Immunology

Archivum Immunologiae et Therapiae Experimentalis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of...

Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities

Article Category: Review

Online veröffentlicht: 29. Feb. 2024

Seitenbereich: -

Eingereicht: 14. Dez. 2023

Akzeptiert: 30. Jan. 2024

DOI: https://doi.org/10.2478/aite-2024-0006

Schlüsselwörter
Artificial intelligence, Big data, Ethics of immunotherapy, Omics, Precision medicine, Regulation of immunity

© 2024 Bhagirath Singh et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities

Article Category: Review

Online veröffentlicht: 29. Feb. 2024

Seitenbereich: -

Eingereicht: 14. Dez. 2023

Akzeptiert: 30. Jan. 2024

DOI: https://doi.org/10.2478/aite-2024-0006

SchlüsselwörterArtificial intelligence, Big data, Ethics of immunotherapy, Omics, Precision medicine, Regulation of immunity

© 2024 Bhagirath Singh et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Artificial intelligence, Big data, Ethics of immunotherapy, Omics, Precision medicine, Regulation of immunity