Leveraging the benefits of digital twin in delivering personalized medicine using IOT

• Main Authors: Raghavan, Sanjana, Arunachalam, Oviya, Babu, Amrita, Govindaraju, Subashini
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Artificial intelligence; Big Data; Customization; Digital computers; Digital twins; Domestication; Health care; Heuristic methods; Internet of Things; Machine learning; Precision medicine; Prototypes
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0194752

A digital twin is a computer program that combines real-world data and artificial intelligence to create simulations that predict the performance of a product or process. Through the use of machine learning and big data, digital twin programs can now integrate various data sources to enhance their output, this in turn makes the digital twin a heuristic algorithm that can be well domesticated. The creation of a Digital Twin allows hospitals to monitor and improve their operations through a series of interrelated models. These models can help determine which actions to take to improve patient care. It has allowed researchers to study diseases and develop new drugs and medical devices. Digital Twin technology may also be used to model an individual's genomic makeup and physiological characteristics to create personalized medication. In the long term, digital twin technology can help improve the efficiency and safety of healthcare operations. This paper provides a prototype of a digital twin model that is built based on the Internet of things (IoT). Through the use of digital twin technology, it can also be used to create personalized medicine for each individual, the developed prototype assists in this aspect of healthcare by using artificial intelligence. This paper aims to provide a prototype of a domesticated digital twin that is user-friendly and a viable device for diagnosis and research.