The integration of emerging technologies such as Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Medical Things (IoMT) is transforming personalized healthcare. This work presents an innovative system that leverages the concept of digital health twins, IoMT devices, and immersive VR environments to enable real-time remote monitoring of biomedical signals (ECG, PPG, blood pressure, oxygen saturation, among others). Captured data is transmitted to centralized servers where neural networks analyze health parameters, allowing early anomaly detection and dynamic adjustment of treatment plans. The system also incorporates a cloud-connected assistant based on embedded hardware, enhancing continuous patient monitoring and interaction within both physical and virtual environments. To safeguard sensitive medical data, robust cybersecurity measures are integrated, including encrypted communications, authentication protocols, and local storage failover in case of connectivity loss. This multi-layered approach ensures patient confidentiality and system resilience. By improving diagnostic accuracy, optimizing patient experiences, and extending healthcare access to remote areas, this solution contributes to reducing overcrowding in medical facilities and enabling more equitable healthcare delivery.