Author:
Ciccolini Joseph,Benzekry Sébastien,Barlesi Fabrice
Abstract
SummaryThis project aims to generate dense longitudinal data in lung cancer patients undergoing anti-PD1/PDL1 therapy. Mathematical modelling with mechanistic learning algorithms will help decipher the mechanisms underlying the response or resistance to immunotherapy. A better understanding of these mechanisms should help identifying actionable items to increase the efficacy of immune-checkpoint inhibitors.
Publisher
Springer Science and Business Media LLC
Cited by
11 articles.
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