Human Digital Twin

A human digital twin (HDT) is a virtual representation of an individual's physiological state, dynamically updated with real-time data from various sources, aiming to simulate, predict, and optimize health outcomes. Current research emphasizes the integration of generative AI and mobile edge computing to create high-fidelity models from often incomplete or noisy data, focusing on applications like personalized medicine and rehabilitation. This technology holds significant promise for revolutionizing healthcare through improved diagnostics, treatment planning, and preventative care, but requires careful consideration of data security and ethical implications.