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Improving Personalised Glioblastoma Care by Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence Approaches
The study aims at: 1. Perform a multilayer analysis relying on tight integration of in-depth multi-omics approaches with clinical data to discover immune markers, with attention to age and sex differences, predicting prognosis and defining key life/environmental elements, to guide AI-driven personalised treatments and ensure improved care and QoL of glioblastoma patients. 2. To deepen glioblastoma knowledge through the study of glioblastoma stem cell cultures and to assess the sensitivity of glioblastoma stem cell cultures to a number of chemotherapeutics in different experimental conditions. 3. To create a comprehensive, stakeholder-generated guidelines for the ethical use of patient data for artificial intelligence-assisted prediction systems in glioblastoma, including an online, easily accessible patient information brochure to increase patient empowerment in the field.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, Italy
Start Date
February 29, 2024
Primary Completion Date
May 30, 2026
Completion Date
December 30, 2026
Last Updated
March 13, 2025
120
ESTIMATED participants
Biological biomarker analysis
OTHER
Quintino Giorgio D'Alessandris, MD, PhD
CONTACT
+39 06 30155414quintinogiorgio.dalessandris@policlinicogemelli.itLead Sponsor
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Collaborators
NCT06860594
NCT07091864
Data Source & Attribution
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