The evolution of 3D facial scanning in dentistry has created phenomenal possibilities for patient replication in our field. We begin by discussing the clinical applications and limitations of static 3D facial scanning. We then explore dynamic 3D facial scanning, which enables the capture of facial expressions and movements in real-time. This innovation expands the scope of predictive diagnostics and individualized treatments, enhancing patient outcomes. We introduced the term 'meta-patient', a dynamic digital model of patients that includes all static data acquisition, such as intraoral scans, facial scans, and CT scans, thereby adding a layer of human and computer science complexity, enhancing our comprehension of disease pathways, and advancing personalized dentistry. The keynote envisions a path to the meta-patient in clinical practice by highlighting future research and innovations. This concept transforms healthcare, paving the way for even more individualized treatment.