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

doi:10.20373/uniupo/openthesis/213822

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

Research output: Types of Thesis › Doctoral Thesis

Original language	English
Awarding Institution	Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro"
Supervisors/Advisors	UBERTI, FRANCESCA, Supervisor
DOIs	https://doi.org/10.20373/uniupo/openthesis/213822
Publication status	Published - 2025
Externally published	Yes

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10.20373/uniupo/openthesis/213822

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

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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. [Doctoral Thesis, Universita' degli Studi del Piemonte Orientale "Amedeo Avogadro"]. https://doi.org/10.20373/uniupo/openthesis/213822

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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",

doi = "10.20373/uniupo/openthesis/213822",

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://doi.org/10.20373/uniupo/openthesis/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

U2 - 10.20373/uniupo/openthesis/213822

DO - 10.20373/uniupo/openthesis/213822

M3 - Doctoral Thesis

ER -

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

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