Abstract
The "digital patient" is a computer representation of the patient's anatomy and physiology, based on various models whose parameters can be automatically learned from real or simulated medical images. The parameters thus learned are then used by algorithms covering the three pillars of digital medicine: diagnostic, prognostic and therapeutic support.
The presentation will illustrate these different points, and emphasize the important role of geometric, statistical and biophysical modeling of living organisms and imaging processes.
