Digital twins in healthcare: model validation, co-design, and clinical evaluation

During the last 20 years, we have developed and integrated mathematical models for all of the main organs in the human body into an interconnected model for the body as a whole. These models can become personalized by tuning them to person-specific data. Such personalized models for the human body are what we refer to as digital twins. This differs from almost all other available digital twin models, since other twin models are only describing a single organ, or only a specific aspect (such as glucose and insulin on the whole-body level). Our digital twin models describe and focus on both what happens inside organs, and on what happens in the interplay between these organs. In this way, our digital twin models are multi-organ. Our digital twin models are also multi-timescale (from ms to years) and multi-level (intracellular to whole-body level).

In this project financed by VINNOVA, MedTech4Health, and Swelife, we take these digital twins forward towards end-usage in the clinic, via three concrete step:

Overview of the key steps and deliverables (D) in the project.

Key references

An organ-based multi-level model for glucose homeostasis: organ distributions, timing, and impact of blood flow. Herrgårdh Ta, Li H, Nyman E, Cedersund G. Front Physiol. 2021, 12:619254. Doi: 10.3389/fphys.2021.619254
Digital twin predicting diet response before and after long-term fasting. Oscar Silfvergren, Christian Simonsson, Mattias Ekstedt, Peter Lundberg, Peter Gennemark, Gunnar Cedersund, PLoS Comp Biol, 2022, In press, doi: 10.1371/journal.pcbi.1010469
Herrgårdh T b, Madai VI, Kelleher JD, Magnusson R, Gustafsson M, Milani L, Gennemark P, Cedersund G. Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios. Neuroimage Clin. 2021, 31:102694. Doi: 10.1016/j.nicl.2021.102694
Digital twins and hybrid modelling for simulation of physiological variables and stroke risk. Tilda Herrgårdh, Elizabeth Hunter, Kajsa Tunedal, Hakan Örman, Julia Amann, Francisco Abad Navarro, Catalina Martinez-Costa, John D Kelleher, Gunnar Cedersund doi: 10.1101/2022.03.25.485803 bioRxiv, 2022