Fachgruppe Molekulare Biomedizin: Publikationen
Recent Submissions
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A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survival
(2025-05-22)Cancer is a major burden of disease around the globe and one of the leading causes of premature death. The key to improve patient outcomes in modern clinical cancer research is to gain insights into dynamics underlying ... -
Assessment of uncertainty quantification in universal differential equations
(2025-04-02)Scientific machine learning is a new class of approaches that integrate physical knowledge and mechanistic models with data-driven techniques to uncover the governing equations of complex processes. Among the available ... -
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 ... -
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 ... -
Simulation-based inference of cell migration dynamics in complex spatial environments
(2026-01-29)To assess cell migration in complex spatial environments, microfabricated chips, such as mazes and pillar forests, are routinely used to impose spatial and mechanical constraints, and cell trajectories are followed within ... -
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, ...
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