Project: Personalized therapy for lung cancer patients using respiratory impedance models

2019-12-01 – 2023-09-30

Abstract

This project proposes a general identification framework in cancer patients based on modeling of tumor growth and respiratory impedance for further prediction of an individualized lung cancer therapy (with prospective results in prediction of radiation-induced toxicity). The hypothesis is that forced oscillation technique can provide useful information about the respiratory function in lung cancer patients before and after therapy.