Abstract
Digital twins provide a framework to advance the field of personalized medicine by generating clinically actionable strategies that leverage individualized data as well as current and emerging research. Strong interdisciplinary teamwork, specific funding mechanisms and integration of key biological details such as somatic evolution are necessary for the effective adoption of digital twins in medicine.