A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties

A. R. Ynineb; E. Yumuk; G. Ben Othman; H. Farbakhsh; D. Copot; R. De Keyser; S. Ladaci; C. M. Ionescu

doi:10.1007/978-3-031-97950-7_1

A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties

A. R. Ynineb^*
, E. Yumuk
, G. Ben Othman
, H. Farbakhsh
, D. Copot
, R. De Keyser
, S. Ladaci
, C. M. Ionescu

^*Bu çalışma için yazışmadan sorumlu yazar

Ghent University
National Polytechnic School, Algeria

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

This paper introduces a relation between body mass index and fat tissue properties, thereby addressing a significant gap in conventional pharmacokinetic models for non-lean patients affecting patient outcome from long-term anesthesia. We use a Trust-Region algorithm to approximate the risk of drug trapping in fat cells, correlating the body mass index with the ratio of porosity to permeability in fat tissues. By iterative optimum search algorithms, we obtain approximations of a nonlinear function and compare with classical search methods. By providing a model for comorbidity risk associated with body mass index for general anesthesia, we enhance the expected closed-loop performance of any regulatory algorithm making use of this additional information.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024
Editörler	Martin Golubitsky, Stefano Boccaletti, Carla M.A. Pinto
Yayınlayan	Springer
Sayfalar	1-16
Sayfa sayısı	16
ISBN (Basılı)	9783031979491
DOI'lar	https://doi.org/10.1007/978-3-031-97950-7_1
Yayın durumu	Yayınlandı - 2025
Harici olarak yayınlandı	Evet
Etkinlik	International Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024 - Porto, Portugal Süre: 20 Haz 2024 → 22 Haz 2024

Yayın serisi

Adı	Springer Proceedings in Mathematics and Statistics
Hacim	507 PROMS
ISSN (Basılı)	2194-1009
ISSN (Elektronik)	2194-1017

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024
Ülke/Bölge	Portugal
Şehir	Porto
Periyot	20/06/24 → 22/06/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Belgeye Erişim

10.1007/978-3-031-97950-7_1

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ynineb, A. R., Yumuk, E., Ben Othman, G., Farbakhsh, H., Copot, D., De Keyser, R., Ladaci, S., & Ionescu, C. M. (2025). A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties. In M. Golubitsky, S. Boccaletti, & C. M. A. Pinto (Eds.), Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024 (pp. 1-16). (Springer Proceedings in Mathematics and Statistics; Hac. 507 PROMS). Springer. https://doi.org/10.1007/978-3-031-97950-7_1

@inproceedings{e23bb09b58de45bb810d553812db7ed8,

title = "A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties",

abstract = "This paper introduces a relation between body mass index and fat tissue properties, thereby addressing a significant gap in conventional pharmacokinetic models for non-lean patients affecting patient outcome from long-term anesthesia. We use a Trust-Region algorithm to approximate the risk of drug trapping in fat cells, correlating the body mass index with the ratio of porosity to permeability in fat tissues. By iterative optimum search algorithms, we obtain approximations of a nonlinear function and compare with classical search methods. By providing a model for comorbidity risk associated with body mass index for general anesthesia, we enhance the expected closed-loop performance of any regulatory algorithm making use of this additional information.",

keywords = "BMI, Drug trapping, Pharmacokinetics, Trust-region algorithm",

author = "Ynineb, \{A. R.\} and E. Yumuk and \{Ben Othman\}, G. and H. Farbakhsh and D. Copot and \{De Keyser\}, R. and S. Ladaci and Ionescu, \{C. M.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; International Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024 ; Conference date: 20-06-2024 Through 22-06-2024",

year = "2025",

doi = "10.1007/978-3-031-97950-7\_1",

language = "English",

isbn = "9783031979491",

series = "Springer Proceedings in Mathematics and Statistics",

publisher = "Springer",

pages = "1--16",

editor = "Martin Golubitsky and Stefano Boccaletti and Pinto, \{Carla M.A.\}",

booktitle = "Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024",

address = "Germany",

}

Ynineb, AR, Yumuk, E, Ben Othman, G, Farbakhsh, H, Copot, D, De Keyser, R, Ladaci, S & Ionescu, CM 2025, A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties. in M Golubitsky, S Boccaletti & CMA Pinto (eds), Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024. Springer Proceedings in Mathematics and Statistics, hac. 507 PROMS, Springer, pp. 1-16, International Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024, Porto, Portugal, 20/06/24. https://doi.org/10.1007/978-3-031-97950-7_1

A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties. / Ynineb, A. R.; Yumuk, E.; Ben Othman, G. et al.
Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024. ed. / Martin Golubitsky; Stefano Boccaletti; Carla M.A. Pinto. Springer, 2025. p. 1-16 (Springer Proceedings in Mathematics and Statistics; Hac. 507 PROMS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties

AU - Ynineb, A. R.

AU - Yumuk, E.

AU - Ben Othman, G.

AU - Farbakhsh, H.

AU - Copot, D.

AU - De Keyser, R.

AU - Ladaci, S.

AU - Ionescu, C. M.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - This paper introduces a relation between body mass index and fat tissue properties, thereby addressing a significant gap in conventional pharmacokinetic models for non-lean patients affecting patient outcome from long-term anesthesia. We use a Trust-Region algorithm to approximate the risk of drug trapping in fat cells, correlating the body mass index with the ratio of porosity to permeability in fat tissues. By iterative optimum search algorithms, we obtain approximations of a nonlinear function and compare with classical search methods. By providing a model for comorbidity risk associated with body mass index for general anesthesia, we enhance the expected closed-loop performance of any regulatory algorithm making use of this additional information.

AB - This paper introduces a relation between body mass index and fat tissue properties, thereby addressing a significant gap in conventional pharmacokinetic models for non-lean patients affecting patient outcome from long-term anesthesia. We use a Trust-Region algorithm to approximate the risk of drug trapping in fat cells, correlating the body mass index with the ratio of porosity to permeability in fat tissues. By iterative optimum search algorithms, we obtain approximations of a nonlinear function and compare with classical search methods. By providing a model for comorbidity risk associated with body mass index for general anesthesia, we enhance the expected closed-loop performance of any regulatory algorithm making use of this additional information.

KW - BMI

KW - Drug trapping

KW - Pharmacokinetics

KW - Trust-region algorithm

UR - https://www.scopus.com/pages/publications/105027111345

U2 - 10.1007/978-3-031-97950-7_1

DO - 10.1007/978-3-031-97950-7_1

M3 - Conference contribution

AN - SCOPUS:105027111345

SN - 9783031979491

T3 - Springer Proceedings in Mathematics and Statistics

SP - 1

EP - 16

BT - Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024

A2 - Golubitsky, Martin

A2 - Boccaletti, Stefano

A2 - Pinto, Carla M.A.

PB - Springer

T2 - International Conference on Mathematical Analysis and Applications in Science and Engineering, ICMASC 2024

Y2 - 20 June 2024 through 22 June 2024

ER -

Ynineb AR, Yumuk E, Ben Othman G, Farbakhsh H, Copot D, De Keyser R et al. A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties. In Golubitsky M, Boccaletti S, Pinto CMA, editörler, Mathematical Approaches to Challenges in Biology and Biomedicine - ICMASC 2024. Springer. 2025. p. 1-16. (Springer Proceedings in Mathematics and Statistics). doi: 10.1007/978-3-031-97950-7_1

A Trust-Region Algorithm for Identification of BMI-Related Fat Tissue Properties

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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