From digital control to digital twins in medicine: A brief review and future perspectives

Eftimie, Raluca; Mavrodin, A.; Bordas, Stéphane

doi:10.1016/bs.aams.2022.09.001

Cited by 12 publications

(5 citation statements)

References 157 publications

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“…Are we better off simulating more scenarios (offline or online) or should we make more measurements ?". This direction seems ripe for fruitful investigations, as summarised in a recent review Eftimie et al (2023).…”

Section: Guaranteed Upper Boundsmentioning

confidence: 98%

A short perspective on a posteriori error control and adaptive discretizations

Becker,

Bordas,

Chouly

et al. 2024

Advances in Applied Mechanics

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Section: Guaranteed Upper Boundsmentioning

confidence: 98%

A short perspective on a posteriori error control and adaptive discretizations

Becker,

Bordas,

Chouly

et al. 2024

Advances in Applied Mechanics

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“…DT has immensely evolved the medical field as it found its utilization in the diagnosis and treatment of diseases [81]. Table 2 presents state-of-the-art articles summarizing the DTs in medicine, including DTs of hospitals, heart, patients, etc.…”

Section: Dt In Medicinementioning

confidence: 99%

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

Turab

Jamil

2023

BioMedInformatics

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Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare in the metaverse continues to attract attention. The metaverse is a virtual world where individuals interact with digital replicas of themselves and the environment. This paper focuses on personalized and precise medicine and examines the current application of DTs in healthcare within the metaverse. Healthcare practitioners may use immersive virtual worlds to replicate medical scenarios, improve teaching experiences, and provide personalized care to patients. However, the integration of DTs in the metaverse poses technical, regulatory, and ethical challenges that need to be addressed, including data privacy, standards, and accessibility. Through this examination, we aim to provide insights into the transformative potential of DTs in healthcare within the metaverse and encourage further research and development in this exciting domain.

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“…The latest experimental developments towards the use of microfluidics and labon-a-chip technologies to establish microenvironments to study wound healing [158], cancer [159] and other diseases such as keloids, will generate much more single-scale and multi-scale data. These technologies enable researchers to vary local molecular, cellular and environmental parameters in a controlled way, which can then be replicated by the mathematical and computational modelling approaches to match the experimental settings through the development of "digital twins" (DT) [160]. The current push for the development of DT for precision medicine [161] will impact also keloids research (especially due to the lack of appropriate murine models for keloids, as discussed above).…”

Section: Multiscale Data Collection and Model Parametrisationmentioning

confidence: 99%

Modelling Keloids Dynamics: A Brief Review and New Mathematical Perspectives

Eftimie,

Rolin,

Adebayo

et al. 2023

Bull Math Biol

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Keloids are fibroproliferative disorders described by excessive growth of fibrotic tissue, which also invades adjacent areas (beyond the original wound borders). Since these disorders are specific to humans (no other animal species naturally develop keloid-like tissue), experimental in vivo/in vitro research has not led to significant advances in this field. One possible approach could be to combine in vitro human models with calibrated in silico mathematical approaches (i.e., models and simulations) to generate new testable biological hypotheses related to biological mechanisms and improved treatments. Because these combined approaches do not really exist for keloid disorders, in this brief review we start by summarising the biology of these disorders, then present various 1 types of mathematical and computational approaches used for related disorders (i.e., wound healing and solid tumours), followed by a discussion of the very few mathematical and computational models published so far to study various inflammatory and mechanical aspects of keloids. We conclude this review by discussing some open problems and mathematical opportunities offered in the context of keloid disorders by such combined in vitro/in silico approaches, and the need for multi-disciplinary research to enable clinical progress.

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From digital control to digital twins in medicine: A brief review and future perspectives

Cited by 12 publications

References 157 publications

A short perspective on a posteriori error control and adaptive discretizations

A short perspective on a posteriori error control and adaptive discretizations

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

Modelling Keloids Dynamics: A Brief Review and New Mathematical Perspectives

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