The IUPS (International Union of Physiological Sciences) Physiome Project has been developing modelling standards, open-source tools, and physiological models of tissue and organ function as part of a global effort to put physiology onto a more quantitative footing. These models have largely been at the level of individual organs, with the incorporation of tissue properties and cellular processes, rather than more holistic organ systems.
A new project called
12 Labours is building on the Physiome Project to develop a more integrated and personalized whole-body model for clinical applications, in which the data (for model interpretation) is available from both clinical imaging and from wearable, implantable and home-based medical sensors.
The
Wu Tsai Human Performance Alliance is exploring new directions to help people thrive throughout life, building on decades of scientific research with the goal of improving human health and well-being on a global scale by addressing inactivity, preventable diseases, and treatable disabilities.
The goal of this Research Topic is to publish a wide range of approaches to the development of clinically relevant whole-body models that incorporate mechanistic multiscale models, and to stimulate new collaborations among researchers with complementary skills to tackle these very challenging problems in new ways. We are interested in work covering :
- Mechanistic multiscale models from the molecular level to the whole body.
- Regenerative rehabilitation interventions.
- Precision training regimens that improve performance and reduce injuries.
And welcome review papers and original research on the following themes:
• Integrative, physics-based models that link molecular and cellular mechanisms to tissue and organ function.
• Systems models of regulatory mechanisms at all spatial and temporal scales, including models of whole-body homeostasis.
• Ways of establishing open architecture databases of molecular and physiological data and models at all scales from genetics to the whole body but in ways that allow the multiscale connections to be explored.
• Clinical workflows that help bring the power of predictive modeling to clinical diagnosis and treatment using both clinical imaging and continuous sensing with wearable, implantable and home-based devices.
Topic Editor Gunnar Cedersund is the founder and CEO of "SUND – sound medical decisions" and received funding from AstraZeneca. All other Topic Editors declare no competing interests with regards to the Research Topic subject.