title: From concept to clinic: Mathematically informed immunotherapy.
abstract: To allow innovative, progressive treatments to make the transition from concept to clinic, experimentally calibrated and clinically motivated mathematical models are essential. To aid the development of well-informed clinical trials, collaboration between mathematicians, computational modelers, biologists, and clinicians is required to allow qualitative hypotheses to take on a quantitative dimension. Such interdisciplinary science can allow both personalization and optimization of dose and scheduling of immunotherapeutic protocols, both as an independent therapy and in conjunction with other more traditional therapies, to streamline the transition from innovative concept to clinical practice and improve clinical outcomes for individual patients.
authors.forename: Rachel
authors.initials: R
authors.lastname: Walker
authors.forename: Heiko
authors.initials: H
authors.lastname: Enderling
mesh_terms: D017951:Antigen Presentation / Q000276:immunology; D019496:Cancer Vaccines / Q000276:immunology*; D003131:Combined Modality Therapy / Q000379:methods*; D006801:Humans; D016219:Immunotherapy, Adoptive / Q000379:methods*; D008962:Models, Theoretical; D009369:Neoplasms / Q000276:immunology* / Q000628:therapy*; D013602:T-Lymphocytes, Cytotoxic / Q000276:immunology
chemical_list: D019496:Cancer Vaccines