Human organoids are valuable tools to study human cells in a human-specific context which may not be achieved in animal models. However, it takes months and effort to create organoids in vitro. Therefore, it will be valuable if we can simulate the experimental conditions in advance to predict organoids' cellular organization and dynamics. We will replicate a computational model of pluripotent stem cell (PSC) dynamics in Libby et al. (2019) which via Morpheus and machine learning optimization.

CompuCell3D

Libby, A. R.; Briers, D.; Haghighi, I.; Joy, D. A.; Conklin, B. R.; Belta, C. & McDevitt, T. C.;
Automated Design of Pluripotent Stem Cell Self-Organization;
Cell Systems, Elsevier BV, 2019, 9, 483-495.e10  
https://doi.org/10.1016/j.cels.2019.10.008 

Researchers should cite this work as follows:

• Jung Hyun Park, elmar bucher, Jonathan Ott (2023), "compucell3d cctrinity project," https://nanohub.org/resources/cctrinity. (DOI: 10.21981/N5GN-6Y34).

  BibTex | EndNote

1. cc3d
2. CompuCell3D
3. human induced pluripotent stem cells (hiPSCs)
4. multicellular simulations
5. organoids
6. patterning