Authors:
Laubenbacher, Reinhard and Laubenbacher, Reinhard and Niarakis, Anna and Niarakis, Anna and Helikar, TomΓ΅Ε΅ and Helikar, T. and An, Gary and An, Gary and Shapiro, Bruce E. and Shapiro, B. and Sheriff, Rahuman S. Malik and Malik-Sheriff, Rahuman S and Sego, T. J. and Sego, T. J. and Knapp, ΓdΓ΅m and Knapp, Adam and Macklin, Paul and Macklin, P. and Glazier, James A. and Glazier, James A.
Abstract:
Abstract Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. Personalized computational models are also assisting in applications ranging from drug development to treatment optimization. More advanced medical digital twins will be essential to making precision medicine a reality. Because the immune system plays an important role in such a wide range of diseases and health conditions, from fighting pathogens to autoimmune disorders, digital twins of the immune system will have an especially high impact. However, their development presents major challenges, stemming from the inherent complexity of the immune system and the difficulty of measuring many aspects of a patient’s immune state in vivo. This perspective outlines a roadmap for meeting these challenges and building a prototype of an immune digital twin. It is structured as a four-stage process that proceeds from a specification of a concrete use case to model constructions, personalization, and continued improvement.
