Digital twins and artificial intelligence in metabolic disease research

Mosquera-Lopez, Clara; Jacobs, Peter G.

doi:10.1016/j.tem.2024.04.019

Cited by 1 publication

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was accomplished using a KNN algorithm to train the digital twin to recognize correlations between glucose levels and heart rate patterns. This has allowed for a method of indirectly monitoring glucose concentrations through an easily worn fitness tracker watch [ 23 ].…”

Section: Healthcare Digital Twinmentioning

confidence: 99%

“…The digital twin generated from the patient based on wearable sensor data can monitor glucose levels to notify the patient when an insulin injection is necessary. At the same time, the patient’s healthcare team can monitor the results of the patient and recommend new treatment strategies such as new medications [ 23 ]. This, in turn, holds the potential to revolutionize the healthcare industry by allowing for personalized treatment regardless of the patient [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

View full text Add to dashboard Cite

Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.

show abstract

Section: Healthcare Digital Twinmentioning

confidence: 99%