A bottom-up approach to translate multiscale clinical data into predictive model is to focus on the principles of cell decision-making. My starting point is how a single cell process microenvironmental…

Biomedical problems are highly complex and multi-dimensional. Typically, only a small part of the relevant variables/data can be modelled by virtue of mechanistic modelling, since it hampered by the lack…

My main goal is developing multiscale mathematical methods for modelling multicellular systems such as tissues, bacterial colonies, tumours etc. Many mathematical models rely on phenomenological relationships between model parameters and…

In clinical practice, a wide array of examinations is conducted to evaluate the condition of a specific pathology. These range from blood sample analysis and clinical imaging (e.g., CT, MRI)…