This project proposes a general identification framework in cancer patients based on modeling of tumor growth and modeling of respiratory impedance for further prediction of an individualized lung cancer therapy/treatment. The hypothesis of the research context is that the non-invasive nonmaneuver
forced oscillation technique can provide useful information about the respiratory function in lung cancer patients before and after treatment (follow-up visits).