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Updated: May 27, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Decoding cellular population dynamics through mechanistic modelling and statistical data analysis
Nissrin Alachkar1, Nicholas Kwasi-Do Ohene Opoku2, Nicholas A M Monk3,4
1Biomathematics Division, Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany. Nissrin.Alachkar@ukbonn.de.
None:
Cell-cell communication underlies key processes in development, immunity, and disease, yet capturing its mechanistic complexity remains challenging. While advances in single-cell omics have revealed new insights into cell-type diversity, mathematical modelling has become essential for deriving mechanistic understanding of their communication networks. Here, we overview established modelling approaches and highlight the need for frameworks that move beyond steady-state assumptions and single-step processes, better reflecting the nature of cell-cell communication.
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