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@article{183125,
        author = {Shruti Garg and Mrs. Sumika Jain and Dr. Varun Bansal},
        title = {Thyroid Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {188-191},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183125},
        abstract = {This document investigates the biological underpinnings of thyroid regulation, outlines modern diagnostic methods, and integrates advancements in artificial intelligence, computational modeling, and control theory to develop intelligent systems for proactive thyroid disorder management. Emerging technologies such as Model Predictive Control (MPC), wearable devices, digital twins, and IoMT applications are transforming endocrinology, enabling predictive and patient-specific interventions tailored to individual needs, automating complex diagnostic and therapeutic processes to enhance accuracy and reliability. There is a rising global prevalence of thyroid disorders, emphasizing the need for systems that move beyond mere accuracy to prioritizing advanced prediction and personalization. This paper provides a thorough multidisciplinary examination of thyroid control mechanisms, pathology, and physiology, proposing frameworks for comprehensive predictive thyroid healthcare. Ethico-legal considerations alongside future prospects are explored, expanding the horizon for personalized endocrine care.},
        keywords = {Medical, Thyroid, Cinical, Healthcare},
        month = {July},
        }