A latent cardiomyocyte regeneration potential in human heart disease.
Derks, W., et al. (2025).
Link
Developmental beta-cell death orchestrates the islet’s inflammatory milieu by regulating immune system crosstalk.
Akhtar, M. N., et al. (2025).
Link
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation.
Arruda, J., Schälte, Y., Peiter, C., Teplytska, O., Jaehde, U., & Hasenauer, J. (2024).
Link
Universal differential equations for systems biology: Current state and open problems.
Philipps, M., Schmid, N., & Hasenauer, J. (2024).
Link
Efficient parameter estimation for ODE models of cellular processes using semi-quantitative data.
Dorešić, D., Grein, S., & Hasenauer, J. (2024).
Link
Tailoring COVID-19 Vaccination Strategies in High-Seroprevalence Settings: Insights from Ethiopia.
Gudina, E. K., et al. (2024).
Link
A wall-time minimizing parallelization strategy for approximate Bayesian computation.
Alamoudi, E., et al. (2024).
Link
Missing data in amortized simulation-based neural posterior estimation.
Wang, Z., Hasenauer, J., & Schälte, Y. (2024).
Link
Collective cell migration due to guidance-by-followers is robust to multiple stimuli.
Müller, R., Boutillon, A., Jahn, D., Starruß, J., David, N. B., & Brusch, L. (2023).
Link
FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes.
Alamoudi, E., et al. (2023).
Link
Accessibility of covariance information creates vulnerability in Federated Learning frameworks.
Huth, M., et al. (2023).
Link
Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation.
Schälte, Y., & Hasenauer, J. (2023).
Link
pyABC: Efficient and robust easy-to-use approximate Bayesian computation.
Schälte, Y., Klinger, E., Alamoudi, E., & Hasenauer, J. (2022).
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