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Identifiability and uncertainty for ordinary differential equation models with qualitative or semiquantitative data
(2025-09-26)
The estimation of unknown parameters is a key step in the development of mechanistic dynamical models for biological processes. While quantitative measurements are typically used for model calibration, in many applications, ...
Parameter estimation and model selection for the quantitative analysis of oncolytic virus therapy in zebrafish
(2025-08-13)
Oncolytic virus therapy (OVT) is emerging as a potent alternative to conventional cancer treatments by employing engineered viruses that selectively infect and lyse tumor cells while sparing normal tissues. Although ...
Next-generation discovery: empowering organoid research with machine learning, artificial intelligence, and mathematical modeling
(2026-03-13)
Organoids have rapidly matured into powerful model systems. The field is pushing organoids toward architectural sophistication and functional fidelity, with longitudinal experiments producing ever-larger and more complex ...





