Michele Piana

This paper presents an inversion method to recover microscopic rate constants from Michaelis-Menten parameters in enzyme kinetics, with applications to biochemical pathway modeling.

The paper uses chemical reaction networks to model the MAPK pathway in colorectal cancer, analyzing mutation effects and simulating multi-target therapy.

The paper introduces a statistical sensitivity index to assess the impact of parameters and initial concentrations on cancer-related signalling network outputs using principal component analysis.

Transfreq computes theta-to-alpha transition frequency from resting-state EEG data by clustering spectral profiles, demonstrating feasibility and robustness across datasets.

The paper develops parametric imaging methods for FDG-PET data using physiology and iterative regularization, applied to the hepatic and renal systems to improve tracer metabolism analysis.

The paper reviews mathematical methods for reconstructing brain activity from MEG/EEG data, covering forward problem mathematics, regularization techniques, Bayesian inference, and an application in epilepsy evaluation.