Homeostatik Denge için Fizyolojik Parametrelerin Simülasyonu: Dijital İkiz Teknolojisinin Rolü

Year 2025, Volume: 20 Issue: 71, 65 - 82, 31.07.2025

Mehtap Odabaşı , Ebru Bardaş Özkan

Abstract

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.

Keywords

Dijital ikiz, homeostatik denge, fizyolojik simulasyon

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

Abstract

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.

Keywords

Digital Twin, Homeostasis, Personalized Medicine, Artificial Intelligence, Systems Biology, Health Technologies.

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