ReviewFrontiers in immunology2019
The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation.
Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Protein-Like Polymers Targeting Keap1/Nrf2 as Therapeutics for Myocardial Infarction.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Deep learning health space model for ordered responses.BMC medical informatics and decision making · 2025Article
- Multiscale information processing in the immune system.Frontiers in immunology · 2025Review
- Protein swarm-based cause-effect analysis: effects of microRNAs on cooperation networks linking COVID-19 infections, atherosclerosis, and Alzheimer's disease.Frontiers in cardiovascular medicine · 2025Article
- The Impact ofPathogens (Basel, Switzerland) · 2024Review
- Self-assembling DNA recognizes patterns.Nature · 2024Article
- Evolution is driven by natural autoencoding: reframing species, interaction codes, cooperation and sexual reproduction.Proceedings. Biological sciences · 2023Article
- Machine learning-based investigation of the relationship between immune status and left ventricular hypertrophy in patients with end-stage kidney disease.Frontiers in cardiovascular medicine · 2023Article
- The brain is not mental! coupling neuronal and immune cellular processing in human organisms.Frontiers in integrative neuroscience · 2023Article
- Antibody diversity in IVIG: Therapeutic opportunities for novel immunotherapeutic drugs.Frontiers in immunology · 2023Review
- Immunotoxicity of nanomaterials in health and disease: Current challenges and emerging approaches for identifying immune modifiers in susceptible populations.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022Review
- Title IgA Nephropathy and Oral Bacterial Species Related to Dental Caries and Periodontitis.International journal of molecular sciences · 2022Review
- An integrative systems biology view of host-pathogen interactions: The regulation of immunity and homeostasis is concomitant, flexible, and smart.Frontiers in immunology · 2022Article
- Virus-Induced Membrane Fusion in Neurodegenerative Disorders.Frontiers in cellular and infection microbiology · 2022Review
- Innovative vaccine platforms against infectious diseases: Under the scope of the COVID-19 pandemic.International journal of pharmaceutics · 2021Review
- Struggle within: evolution and ecology of somatic cell populations.Cellular and molecular life sciences : CMLS · 2021Review
- The Effect of Unconventional Cytokine Combinations on NK-Cell Responses to Viral Infection.Frontiers in immunology · 2021Review
- Mechanism of the Immunomodulatory Effect of the Combination of LiveFrontiers in immunology · 2021Article
- Ganoderma lucidum Rhodiola compound preparation prevent D-galactose-induced immune impairment and oxidative stress in aging rat model.Scientific reports · 2020Article
- Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer.Frontiers in oncology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here, we outline an overview of the mammalian immune system that updates and extends the classical clonal selection paradigm. Rather than focusing on strict self-not-self discrimination, we propose that the system orchestrates variable inflammatory responses that maintain the body and its symbiosis with the microbiome while eliminating the threat from pathogenic infectious agents and from tumors. The paper makes four points: The immune system classifies healthy and pathologic states of the body-including both self and foreign elements-by deploying individual lymphocytes as cellular computing machines; immune cells transform input signals from the body into an output of specific immune reactions.Rather than independent clonal responses, groups of individually activated immune-system cells co-react in lymphoid organs to make collective decisions through a type of self-organizing swarm intelligence or crowd wisdom.Collective choices by swarms of immune cells, like those of schools of fish, are modified by relatively small numbers of individual regulators responding to shifting conditions-such collective inflammatory responses are dynamically responsive.Self-reactive autoantibody and T-cell receptor (TCR) repertoires shared by healthy individuals function in a biological version of experience-based supervised machine learning. Immune system decisions are primed by formative experience with training sets of self-antigens encountered during lymphocyte development; these initially trained T cell and B cell repertoires form a Wellness Profile that then guides immune responses to test sets of antigens encountered later. This experience-based machine learning strategy is analogous to that deployed by supervised machine-learning algorithms. We propose experiments to test these ideas. This overview of the immune system bears clinical implications for monitoring wellness and for treating autoimmune disease, cancer, and allograft reactions.
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