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@article{187143,
        author = {Mr.Tarun R and Mrs. R. Sangeetha and Mr. Rakavel V and Mr.Hemadri Gowda P S},
        title = {Artificial Intelligence for Human Digital Twins},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7615-7617},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187143},
        abstract = {The Human Digital Twin (HDT) is a new age game changing innovation within the overall paradigm of digital twin technology that allows for the development of smart digital twins that reflect human physiology, cognition, and behavioral characteristics. An HDT is an ever-updating digital avatar of a person by combining various modalities of data clinical history, medical images, wearable sensor readings, environmental conditions, and behavioral trends into a single virtual representation. This digital entity enables ongoing health monitoring, early detection of anomalies, forecasting of disease progression, and simulation of the effect of therapies.
While promising, current HDT research is still in silos without standardized approaches, hybrid modeling methods, and clinical evaluation. This paper gives an in-depth overview of ongoing HDT developments, discussing enabling technologies, methodological paradigms, and application areas within healthcare, industry, and daily life. It also suggests a systematic framework focusing on hybrid physics AI modeling, multimodal data fusion, and edge cloud synergy. The discussion also touches on the ethical, privacy, and regulation aspects of HDT implementation, emphasizing the importance of transparency, trustworthiness, and fair data governance. Finally, this research maps the course for HDTs to become practical, scalable systems from conceptual models and advance precision and personalized medicine.},
        keywords = {Human Digital Twin, Digital Twin, AI in Healthcare, Hybrid Modeling, Multimodal Data, Simulation, Personalized Medicine, Predictive Analytics},
        month = {December},
        }