Balázs Erdős
Postdoctoral Fellow
- Department
- Data Science and Knowledge Discovery
- Organisation
- Simula Metropolitan
- balazs@simula.no
Publications
2025
Journal Articles
Read Physiology-informed regularisation enables training of universal differential equation systems for biological applications
M. de Rooij, B. Erdős, N. A. W. van Riel and S. D. O’Donovan
Physiology-informed regularisation enables training of universal differential equation systems for biological applications
PLOS Computational Biology
2024
Journal Articles
Read Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism
B. Erdős, S. D. O’Donovan, M. E. Adriaens, A. Gijbels, I. Trouwborst, K. M. Jardon, G. H. Goossens, L. A. Afman, E. E. Blaak, N. A. W. van Riel and I. C. W. Arts
Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism
Scientific Reports
Posters
Read Extracting insight from longitudinal gut microbiome data through multiway data analysis
B. Erdős, M. L. Widdowson, F. Wesel, J. Thorsen, J. Stokholm, A. K. Smilde, M. A. Rasmussen and E. A. Ataman
Extracting insight from longitudinal gut microbiome data through multiway data analysis
2nd Copenhagen Gut Microbiome Symposium, Copenhagen, Denmark