Speaker
Description
The integration of emerging technologies, such as Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Medical Things (IoMT), is driving a significant transformation in personalized healthcare. This article explores the use of the metaverse as an innovative tool to enhance personalized medicine through the creation of digital twins in residential and hospital settings. These digital twins enable real-time monitoring of biomedical signals (ECG, oxygen saturation, blood pressure, among others) through connected IoMT devices. The data collected is transmitted to centralized servers where neural networks analyze health parameters, facilitating early anomaly detection and dynamic adjustment of treatment plans. Implementing this technology can improve diagnostic accuracy, optimize patient experience, and reduce congestion in healthcare facilities, while enabling remote monitoring in hard-to-reach areas. It is important to consider that the widespread use of these systems introduces significant challenges regarding data privacy and medical information security, which requires robust solutions to protect patient confidentiality within these digitalized environments
