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Digital twins, customized simulation models pioneered in industry, are beginning to gain ground in medicine and healthcare, with some major successes in cardiovascular diagnostics and insulin pump control. Personalized computational models are also assisting in applications ranging from drug development to patient-tailored treatment optimization. Advanced medical digital twins will be essential to making personalized 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 (IDTs) 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. A collaborative interdisciplinary effort involving immunologists, clinicians, mathematical modelers, and software engineers is required to achieve substantial progress.
The WG Building Immune Digital Twins aims to foster a network of collaborators and experts in all relevant areas of research. The ultimate goal of the WG is to help create a long-term interdisciplinary immune digital twin community, willing to take up the challenges of this exciting new field.