Diğer
BibTex RIS Kaynak Göster

Simulation of Physiological Parameters for Homeostatic Maintenance: The Role of Digital Twin Technology

Yıl 2025, Cilt: 20 Sayı: 71, 65 - 82, 31.07.2025

Öz

Digital twin technology is an innovative approach to personalized health management by way of digital modeling of physiological parameters. This technology enables 24/7 monitoring of the basic life-sustaining functions of the organism, simulation of these functions, and early detection of deviations for timely intervention in preventive medicine. Digital twin applications provide a key component in maintaining homeostatic balance, preventing acute illnesses, and optimizing interventions. This review elucidates circuitously all the structural components of digital twins, their connections with physiological systems, applications in health and sports, and medical applications. We will discuss some of the major limiting factors, which include data security, costs, ethical issues, and legal regulations.

Kaynakça

  • Akbarzadeh, A., Rezaei-Sadabady, R., Davaran, S., Joo, S. W., Zarghami, N., Hanifehpour, Y., ... & Nejati-Koshki, K. (2013). Liposome: classification, preparation, and applications. Nanoscale Research Letters, 8(1), 102.
  • Balasubramanyam, A., Ramesh, R., Sudheer, R., & Honnavalli, P. B. (2024). Revolutionizing healthcare: A review unveiling the transformative power of digital twins. IEEE Access, 12, 69652–69676.
  • Björnsson, B., Borrebaeck, C., Elander, N., Gasslander, T., Gawel, D. R., Gustafsson, M., Jörnsten, R., Lee, E. J., Li, X., Lilja, S., Martínez-Enguita, D., Matussek, A., Sandström, P., Schäfer, S., Stenmarker, M., Sun, X. F., Sysoev, O., Zhang, H., Benson, M., & Swedish Digital Twin Consortium. (2019). Digital twins to personalize medicine. Genome Medicine, 12(1), 4.
  • Cellina, M., Cè, M., Alì, M., Irmici, G., Ibba, S., Caloro, E., Fazzini, D., Oliva, G., & Papa, S. (2023). Digital twins: The new frontier for personalized medicine? Applied Sciences, 13(13), 7940. https://doi.org/10.3390/app13137940
  • Cheng, L., Liu, J., & Xu, P. (2020). Digital twin-driven collaborative intelligence in healthcare. Nature Digital Medicine, 3(1), 1–8.
  • Chu, Y., Li, S., Tang, J., & Wu, H. (2023). The potential of the medical digital twin in diabetes management: A review. Frontiers in Medicine, 10, 1178912. https://doi.org/10.3389/fmed.2023.1178912
  • Coorey, G., Figtree, G. A., Fletcher, D. F., Snelson, V. J., Vernon, S. T., Winlaw, D., Grieve, S. M., McEwan, A., Yang, J. Y. H., Qian, P., O’Brien, K., Orchard, J., Kim, J., Patel, S., & Redfern, J. (2022). The health digital twin to tackle cardiovascular disease—A review of an emerging interdisciplinary field. NPJ Digital Medicine, 5(1), 126. https://doi.org/10.1038/s41746-022-00640-7
  • Daraee, H., Etemadi, A., Kouhi, M., Alimirzalu, S., & Akbarzadeh, A. (2016). Application of liposomes in medicine and drug delivery. Artificial Cells, Nanomedicine, and Biotechnology, 44(1), 381–391.
  • González-Rivas, J. P., Seyedi, S. A., & Mechanick, J. I. (2025). Artificial intelligence enabled lifestyle medicine in diabetes care: A narrative review. American Journal of Lifestyle Medicine, 15598276251359185
  • Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2023). Exploring the revolution in healthcare systems through the applications of digital twin technology. Biomedical Technology, 4, 28–38.
  • Hassani, H., Huang, X., & MacFeely, S. (2022). Impactful digital twin in the healthcare revolution. Big Data and Cognitive Computing, 6(3), 83.
  • Hosseini, S. R., Zhang, Y., & Kordi, M. (2021). Digital twins for personalized renal function monitoring. Journal of Biomedical Informatics, 118, 103792.
  • Kamel Boulos, M. N., & Zhang, P. (2021). Digital twins: From personalised medicine to precision public health. Journal of Personalized Medicine, 11(8), 745.
  • Krittanawong, C., Virk, H. U. H., Bangalore, S., Wang, Z., Johnson, K. W., Pinotti, R., Zhang, H., Kaplin, S., Narasimhan, B., Kitai, T., Baber, U., Halperin, J. L., & Tang, W. H. W. (2020). Machine learning prediction in cardiovascular diseases: A meta-analysis. Scientific Reports, 10(1), 16057. https://doi.org/10.1038/s41598-020-72685-1
  • Niarakis, A., Laubenbacher, R., An, G., et al. (2024). Immune digital twins for complex human pathologies: Applications, limitations, and challenges. NPJ Systems Biology and Applications, 10, 141.
  • Ríos, A., Pérez, L., Gómez, M., & Martínez, F. (2020). The role of digital twin in personalized medicine. Bioengineering, 7(4), 116.
  • Salvador, M., Kong, F., Peirlinck, M., Parker, D. W., Chubb, H., Dubin, A. M., & Marsden, A. L. (2024). Digital twinning of cardiac electrophysiology for congenital heart disease. Journal of the Royal Society Interface, 21(215), 20230729.
  • Siemens Healthineers. (2021). Digital twin applications in cardiovascular health. Siemens Healthineers Reports. https://www.siemens-healthineers.com/en-us/news/digital-twin-cardiovascular-2021
  • Sun, T., He, X., Song, X., Shu, L., & Li, Z. (2022). The digital twin in medicine: A key to the future of healthcare? Frontiers in Medicine, 9, 907066. https://doi.org/10.3389/fmed.2022.907066
  • Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., & Nee, A. Y. C. (2018). Digital twin-driven product design framework. International Journal of Production Research, 57(12), 3935–3953. https://doi.org/10.1080/00207543.2018.1443229
  • Vallée, A. (2023). Digital twin for healthcare systems. Frontiers in Digital Health, 5, 1253050.
  • Zhang, J., Li, L., Lin, G., Fang, D., Tai, Y., & Huang, J. (2020). Cyber resilience in healthcare digital twin on lung cancer. IEEE Access, 8, 201900–201913.
  • Zhao, F., Wu, Y., Hu, M., Chang, C. W., Liu, R., Qiu, R., & Yang, X. (2024). Current progress of digital twin construction using medical imaging. arXiv preprint arXiv:2411.08173.

Homeostatik Denge için Fizyolojik Parametrelerin Simülasyonu: Dijital İkiz Teknolojisinin Rolü

Yıl 2025, Cilt: 20 Sayı: 71, 65 - 82, 31.07.2025

Öz

Dijital ikiz teknolojisi, fizyolojik parametrelerin dijital modellemesi yoluyla kişiselleştirilmiş sağlık yönetimine yönelik yenilikçi bir yaklaşımdır. Bu teknoloji, organizmanın yaşamı idame ettiren temel işlevlerinin 7/24 izlenmesini, bu işlevlerin simülasyonunu ve önleyici tıpta zamanında müdahale için sapmaların erken tespitini sağlar. Dijital ikiz uygulamaları homeostatik dengenin korunmasında, akut hastalıkların önlenmesinde ve müdahalelerin optimize edilmesinde önemli bir bileşen sağlamaktadır. Bu derleme, dijital ikizlerin tüm yapısal bileşenlerini, fizyolojik sistemlerle bağlantılarını, sağlık ve spor alanındaki uygulamaları ve tıbbi uygulamaları dolaylı olarak açıklamaktadır. Veri güvenliği, maliyetler, etik sorunlar ve yasal düzenlemeleri içeren bazı önemli sınırlayıcı faktörleri tartışacağız.

Kaynakça

  • Akbarzadeh, A., Rezaei-Sadabady, R., Davaran, S., Joo, S. W., Zarghami, N., Hanifehpour, Y., ... & Nejati-Koshki, K. (2013). Liposome: classification, preparation, and applications. Nanoscale Research Letters, 8(1), 102.
  • Balasubramanyam, A., Ramesh, R., Sudheer, R., & Honnavalli, P. B. (2024). Revolutionizing healthcare: A review unveiling the transformative power of digital twins. IEEE Access, 12, 69652–69676.
  • Björnsson, B., Borrebaeck, C., Elander, N., Gasslander, T., Gawel, D. R., Gustafsson, M., Jörnsten, R., Lee, E. J., Li, X., Lilja, S., Martínez-Enguita, D., Matussek, A., Sandström, P., Schäfer, S., Stenmarker, M., Sun, X. F., Sysoev, O., Zhang, H., Benson, M., & Swedish Digital Twin Consortium. (2019). Digital twins to personalize medicine. Genome Medicine, 12(1), 4.
  • Cellina, M., Cè, M., Alì, M., Irmici, G., Ibba, S., Caloro, E., Fazzini, D., Oliva, G., & Papa, S. (2023). Digital twins: The new frontier for personalized medicine? Applied Sciences, 13(13), 7940. https://doi.org/10.3390/app13137940
  • Cheng, L., Liu, J., & Xu, P. (2020). Digital twin-driven collaborative intelligence in healthcare. Nature Digital Medicine, 3(1), 1–8.
  • Chu, Y., Li, S., Tang, J., & Wu, H. (2023). The potential of the medical digital twin in diabetes management: A review. Frontiers in Medicine, 10, 1178912. https://doi.org/10.3389/fmed.2023.1178912
  • Coorey, G., Figtree, G. A., Fletcher, D. F., Snelson, V. J., Vernon, S. T., Winlaw, D., Grieve, S. M., McEwan, A., Yang, J. Y. H., Qian, P., O’Brien, K., Orchard, J., Kim, J., Patel, S., & Redfern, J. (2022). The health digital twin to tackle cardiovascular disease—A review of an emerging interdisciplinary field. NPJ Digital Medicine, 5(1), 126. https://doi.org/10.1038/s41746-022-00640-7
  • Daraee, H., Etemadi, A., Kouhi, M., Alimirzalu, S., & Akbarzadeh, A. (2016). Application of liposomes in medicine and drug delivery. Artificial Cells, Nanomedicine, and Biotechnology, 44(1), 381–391.
  • González-Rivas, J. P., Seyedi, S. A., & Mechanick, J. I. (2025). Artificial intelligence enabled lifestyle medicine in diabetes care: A narrative review. American Journal of Lifestyle Medicine, 15598276251359185
  • Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2023). Exploring the revolution in healthcare systems through the applications of digital twin technology. Biomedical Technology, 4, 28–38.
  • Hassani, H., Huang, X., & MacFeely, S. (2022). Impactful digital twin in the healthcare revolution. Big Data and Cognitive Computing, 6(3), 83.
  • Hosseini, S. R., Zhang, Y., & Kordi, M. (2021). Digital twins for personalized renal function monitoring. Journal of Biomedical Informatics, 118, 103792.
  • Kamel Boulos, M. N., & Zhang, P. (2021). Digital twins: From personalised medicine to precision public health. Journal of Personalized Medicine, 11(8), 745.
  • Krittanawong, C., Virk, H. U. H., Bangalore, S., Wang, Z., Johnson, K. W., Pinotti, R., Zhang, H., Kaplin, S., Narasimhan, B., Kitai, T., Baber, U., Halperin, J. L., & Tang, W. H. W. (2020). Machine learning prediction in cardiovascular diseases: A meta-analysis. Scientific Reports, 10(1), 16057. https://doi.org/10.1038/s41598-020-72685-1
  • Niarakis, A., Laubenbacher, R., An, G., et al. (2024). Immune digital twins for complex human pathologies: Applications, limitations, and challenges. NPJ Systems Biology and Applications, 10, 141.
  • Ríos, A., Pérez, L., Gómez, M., & Martínez, F. (2020). The role of digital twin in personalized medicine. Bioengineering, 7(4), 116.
  • Salvador, M., Kong, F., Peirlinck, M., Parker, D. W., Chubb, H., Dubin, A. M., & Marsden, A. L. (2024). Digital twinning of cardiac electrophysiology for congenital heart disease. Journal of the Royal Society Interface, 21(215), 20230729.
  • Siemens Healthineers. (2021). Digital twin applications in cardiovascular health. Siemens Healthineers Reports. https://www.siemens-healthineers.com/en-us/news/digital-twin-cardiovascular-2021
  • Sun, T., He, X., Song, X., Shu, L., & Li, Z. (2022). The digital twin in medicine: A key to the future of healthcare? Frontiers in Medicine, 9, 907066. https://doi.org/10.3389/fmed.2022.907066
  • Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., & Nee, A. Y. C. (2018). Digital twin-driven product design framework. International Journal of Production Research, 57(12), 3935–3953. https://doi.org/10.1080/00207543.2018.1443229
  • Vallée, A. (2023). Digital twin for healthcare systems. Frontiers in Digital Health, 5, 1253050.
  • Zhang, J., Li, L., Lin, G., Fang, D., Tai, Y., & Huang, J. (2020). Cyber resilience in healthcare digital twin on lung cancer. IEEE Access, 8, 201900–201913.
  • Zhao, F., Wu, Y., Hu, M., Chang, C. W., Liu, R., Qiu, R., & Yang, X. (2024). Current progress of digital twin construction using medical imaging. arXiv preprint arXiv:2411.08173.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka (Diğer)
Bölüm Diğer
Yazarlar

Mehtap Odabaşı 0000-0001-7914-4506

Ebru Bardaş Özkan 0009-0001-8752-125X

Gönderilme Tarihi 21 Temmuz 2025
Kabul Tarihi 30 Temmuz 2025
Erken Görünüm Tarihi 30 Temmuz 2025
Yayımlanma Tarihi 31 Temmuz 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 20 Sayı: 71

Kaynak Göster

APA Odabaşı, M., & Bardaş Özkan, E. (2025). Simulation of Physiological Parameters for Homeostatic Maintenance: The Role of Digital Twin Technology. Anadolu Bil Meslek Yüksekokulu Dergisi, 20(71), 65-82.


All site content, except where otherwise noted, is licensed under a Creative Common Attribution Licence. (CC-BY-NC 4.0)

by-nc.png