Case Statement – Building Immune Digital Twins WG
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Discussion
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Digital twins, customised simulation models pioneered in industry, are beginning to gain ground in
medicine and healthcare, with some significant successes in cardiovascular diagnostics and insulin
pump control. Personalised computational models also assist in applications ranging from drug
development to patient-tailored treatment optimisation. Advanced medical digital twins will be
essential to make precision medicine a reality. Because the immune system plays a vital 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 exceptionally high impact.
However, their development presents significant challenges stemming from the immune system’s
inherent complexity and the difficulty in measuring many aspects of a patient’s immune state in
vivo. A collaborative interdisciplinary effort involving immunologists, clinicians, mathematical
modellers, 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 research areas. The ultimate goal of the WG is to help create a long-term interdisciplinary
immune digital twin community willing to take on the challenges of this exciting new field.
It is essential to understand that the field of medical digital twins is fundamentally new in its premise
and ambition. It is a crucial tool for the realisation of personalised medicine. While computational
modelling is an essential ingredient, it is far from the only one. However, it enables concrete steps
quickly, making it the main focus of this WG and community building. As the recent report by the
U.S. National Academies points out, it currently needs to be more challenging to distinguish what is
aspirational and authentic in the digital twin field. The report lays out several foundational problems
that need to be solved along the way, many related to the modelling component. This WG plans to
focus efforts on some of these.
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