Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics

Sara Ferrari

Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics

Sara Ferrari

Risultato della ricerca: Tipi di tesi › Tesi di dottorato

Lingua originale	Inglese
Istituzione conferente	Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro"
Supervisori/Consulenti	UBERTI, FRANCESCA, Relatore
Stato di pubblicazione	Pubblicato - 2025
Pubblicato esternamente	Sì

Accesso al documento

https://hdl.handle.net/11579/213822

Altri file e collegamenti

handle

Cita questo

Ferrari, S. (2025). Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics. [Tesi di dottorato, Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro"]. https://hdl.handle.net/11579/213822

@phdthesis{3a57a385e0b341efa4cd2dfe97ba007b,

title = "Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics",

author = "Sara Ferrari",

year = "2025",

language = "English",

school = "Universita' degli Studi del Piemonte Orientale {"}Amedeo Avogadro{"}",

}

Ferrari, S 2025, 'Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics', Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro". <https://hdl.handle.net/11579/213822>

TY - BOOK

T1 - Development of a big data of mesothelioma that would lead to accurate and early detection: epidemiological evaluation for interventional study in individuals with mesothelioma and preclinical analysis of natural extracts with antitumour characteristics

AU - Ferrari, Sara

PY - 2025

Y1 - 2025

UR - https://iris.uniupo.it/handle/11579/213822

M3 - Doctoral Thesis

ER -