The concept of creating a digital twin (DT) is rapidly evolving from a visionary idea into a reality that promises to redefine our approach to healthcare and personal well-being. In this emerging landscape, we will have the privilege of possessing a virtual alter ego—an entity we can use for experimentation and exploration before making critical decisions about our health and lifestyle. However, as this transformation gains momentum, a central challenge emerges—ensuring the quality and authenticity of the data that fuel these DT models. The integrity of the data that fuel the artificial intelligence (AI) algorithms responsible for constructing DTs is paramount. To achieve this, the integration of blockchain technology becomes indispensable at every stage where patient data are collected, processed, and utilized, particularly in the context of clinical trials. >>View article here