Demand for digital twins in healthcare is escalating rapidly, driven by the need for personalized medicine, improved patient outcomes, and operational efficiency. The aging population, coupled with rising chronic diseases, necessitate predictive and preventive care models. Digital twins offer a virtual replica of patients, allowing for precise disease modeling, drug simulations, and optimized treatment plans. Furthermore, healthcare institutions are under pressure to reduce costs while enhancing quality. Digital twins can optimize resource allocation, streamline workflows, and minimize errors.