A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons
Christian T. Michael, Sayed Ahmad Almohri, Jennifer J. Linderman, Denise E. Kirschner · 2024
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Description
Christian T Michael and three co-authors propose a discipline for computer experiments on disease, so a simulated drug can be followed from molecule to population, in this paper published in 2023. Disease models abound, but intervention studies built on them tend to be improvised, mimicking wet-lab habits. Their multi-scale interventional design framework keeps three scales in view at once: within the body, the patient, and the population.
The test bed is tuberculosis and HostSim, their whole-patient simulator that tracks individual granulomas in the lungs alongside blood and lymph compartments. A virtual cohort of patients is generated, a simple drug intervention applied, and effects read out at cell, tissue, organ, and population levels in one pass. Sensitivity analysis then shows which features sway outcomes at each scale. The authors offer the framework as a template for virtual trials that design for insight, not imitation.
Catalog record
| CREATOR | Christian T. Michael, Sayed Ahmad Almohri, Jennifer J. Linderman, Denise E. Kirschner |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |