Downstream Digital Twins. Biopharma Going In Silico

Digital twins are commonly understood as virtual representations of real-world processes. They can be built using mechanistic or statistical models.

Statistical approaches like big data, machine learning, and artificial intelligence utilize statistics to predict trends and patterns. Mechanistic models are, instead, based on physical and biochemical principles.