Exploring repurposed anticancer drugs for glioblastoma therapy using model-based approaches

Ioannis Ntafoulis

Exploring repurposed anticancer drugs for glioblastoma therapy using model-based approaches

Neurosurgery

Research output: Types of Thesis › Doctoral Thesis › Internal

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Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Leenstra, Sieger, Supervisor Lamfers, Martine, Co-supervisor
Award date	5 Sept 2024
Place of Publication	Rotterdam
Print ISBNs	978-94-6361-998-1
Publication status	Published - 5 Sept 2024

Bibliographical note

The research described in this thesis was supported by the European Union’s Horizon 2020
Program, Marie Skłodowska-Curie Action (MSCA) under the grant agreement no. 766069
GLIOTRAIN, Erasmus Trust Fund, STOPHersentumoren foundation, Erasmus Foundation-
Brain tumor Survival Marathon.

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title = "Exploring repurposed anticancer drugs for glioblastoma therapy using model-based approaches",

author = "Ioannis Ntafoulis",

note = "The research described in this thesis was supported by the European Union{\textquoteright}s Horizon 2020 Program, Marie Sk{\l}odowska-Curie Action (MSCA) under the grant agreement no. 766069 GLIOTRAIN, Erasmus Trust Fund, STOPHersentumoren foundation, Erasmus Foundation- Brain tumor Survival Marathon.",

year = "2024",

month = sep,

day = "5",

language = "English",

isbn = "978-94-6361-998-1",

school = "Erasmus University Rotterdam",

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TY - BOOK

T1 - Exploring repurposed anticancer drugs for glioblastoma therapy using model-based approaches

AU - Ntafoulis, Ioannis

N1 - The research described in this thesis was supported by the European Union’s Horizon 2020 Program, Marie Skłodowska-Curie Action (MSCA) under the grant agreement no. 766069 GLIOTRAIN, Erasmus Trust Fund, STOPHersentumoren foundation, Erasmus Foundation- Brain tumor Survival Marathon.

PY - 2024/9/5

Y1 - 2024/9/5

M3 - Doctoral Thesis

SN - 978-94-6361-998-1

CY - Rotterdam

ER -

Exploring repurposed anticancer drugs for glioblastoma therapy using model-based approaches

Bibliographical note

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