Ireland
--:--IST
Recruiting Observational

Development of an Artificial Intelligence Model for Optimising Therapy in Gliomas Gliomas

NCT06620055 · tracked via the Priya Life Science Italy tracker
Phase
Observational
Started
2023-11-16
Last updated
2024-10-01

Condition(s) studied

Glioma

Study summary

Artificial intelligence (AI) undoubtedly represents the main tool currently available in the definition of complex algorithms and its use in the medical field is becoming increasingly strategic.As reported in the literature, it is increasingly difficult to find new therapeutic strategies for neoplasms, especially neurological ones. Molecular characterisation is therefore increasingly essential, as is the use of new predictive methods.

With this in mind, the aim of this study is to assess, by means of AI algorithms applied to genomic data, in what percentage molecular alterations are susceptible to potential drug therapies, compared to the literature data that does not consider AI algorithms for this purpose.

Eligibility

Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria: 1. Patients with a histopathological diagnosis of glioma for whom it is possible to have cryopreserved or fixed in formalin and embedded in paraffin biological material. Specimens may result from incisional biopsy and/or surgical resection and/or blood. Whole blood is taken for germinal analysis; 2. Age \>=18 years; 3. Patients must understand and provide written informed consent; 4. Life expectancy \>3 months; 5. Presence of biological material from resection and blood considered sufficient by quality and quantity to proceed to molecular characterisation in the opinion of the Investigator Principal Investigator; 6. Presence of available and accessible clinical and histopathological data. Exclusion Criteria: 1. Refusal of informed consent; 2. Uncooperative patients; 3. Presence of other neoplastic diseases in the last 5 years; 4. Pregnant and/or breastfeeding women

Primary outcome measure(s)

  • proportion of patients, out of total patients number, with molecular characteristics susceptible to potential drug therapies ('druggable') identified using an AI model — 24 months
    proportion of patients, out of total patients number, with molecular characteristics susceptible to potential drug therapies ('druggable') identified using an AI model

Trial sites (3)

FacilityCityRegionStatus
Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS Aviano Pordenone Recruiting
IOV Padova Italy Recruiting
Azienda Sanitaria Universitaria Friuli Centrale (ASUFC Udine Italy Recruiting
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06620055 on ClinicalTrials.gov ↗ ← All trials in Italy