A. Maslovskaya

Physics-Informed Neural Network Framework for Time-Dependent Modelling of Bacterial Quorum Sensing and Population Dynamics

In silico studies of microbiological systems are essential for predicting and controlling the impact of external factors on bacterial communities. Quorum sensing represents one of the key mechanisms of bacterial communication, particularly in pathogenic bacteria, realized as a cell-density-dependent regulatory process...

Spatial Statistics and Explainable Deep Learning for 3D Cell–Protein Interaction Profiling

A dual-tiered computational framework combining stochastic spatial point-process analysis with explainable deep learning is presented, providing a donor-aware protocol for comparing interpretable spatial summaries, imaging modalities, and held-out explanations.

A numerical approach to Landau theory-based modelling of diffusion-wave polarization processes in ferroelectrics