Artificial intelligence models in digital twins for health and well-being

Ferdousi, Rahatara; Laamarti, Fedwa; Saddik, Abdulmotaleb El

doi:10.1016/b978-0-32-399163-6.00011-1

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2023

2024

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Cited by 4 publications

(1 citation statement)

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“…According to the same study, the consumer's pursuit for well-being can significantly influence green energy adoption [ 25 ]. However, the concept of DT related to well-being is still on an early stage of research, as this is an emerging field when compared to the DTs main applications [ 26 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household

Coelho,

Oliveira,

Neves

et al. 2024

Heliyon

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Section: Theoretical Backgroundmentioning

confidence: 99%

Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household

Coelho,

Oliveira,

Neves

et al. 2024

Heliyon

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Immune Digital Twin Blueprint: A Comprehensive Mechanistic Model of the Human Immune System

Puniya

Moore

Mohammed

et al. 2020

Preprint

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The human immune system, which protects against pathogens and diseases, is a complex network of cells and molecules. The effects of complex dynamical interactions of pathogens and immune cells on the immune response can be studied using computational models. However, a model of the entire immune system is still lacking. Here, we developed a comprehensive computational model that integrates innate and adaptive immune cells, cytokines, immunoglobulins, and nine common pathogens from different classes of virus, bacteria, parasites, and fungi. This model was used to investigate the dynamics of the immune system under two scenarios: (1) single infection with pathogens, and (2) various medically relevant pathogen coinfections. In coinfections, we found that the order of infecting pathogens has a significant impact on the dynamics of cytokines and immunoglobulins. Thus, our model provides a tool to simulate immune responses under different dosage of pathogens and their combinations, which can be further extended and used as a tool for drug discovery and immunotherapy. Furthermore, the model provides a comprehensive and simulatable blueprint of the human immune system as a result of the synthesis of the vast knowledge about the network-like interactions of various components of the system.

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Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges

Taylor,

Macal,

Matta

et al. 2023

2023 Winter Simulation Conference (WSC)

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Artificial intelligence models in digital twins for health and well-being

Cited by 4 publications

References 19 publications

Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household

Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household

Immune Digital Twin Blueprint: A Comprehensive Mechanistic Model of the Human Immune System

Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges

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