Immune digital twins for complex human pathologies: applications, limitations, and challenges.

ABSTRACT: Digital twins represent a key technology for precision health. Medical digital twins consist of computational models that represent the health state of individual patients over time, enabling optimal therapeutics and forecasting patient prognosis. Many health conditions involve the immune system, so it is crucial to include its key features when designing medical digital twins. The immune response is complex and varies across diseases and patients, and its modelling requires the collective expertise of the clinical, immunology, and computational modelling communities. This review outlines the initial progress on immune digital twins and the various initiatives to facilitate communication between interdisciplinary communities. We also outline the crucial aspects of an immune digital twin de

SUBMITTER: Niarakis A 

PROVIDER: S-EPMC11608242 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature