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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.
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.
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| Measure | Description | Time Frame |
|---|---|---|
| proportion of patients, out of total patients number, with molecular characteristics susceptible to potential drug therapies ('druggable') identified using an AI model | proportion of patients, out of total patients number, with molecular characteristics susceptible to potential drug therapies ('druggable') identified using an AI model | 24 months |
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Inclusion Criteria:
Exclusion Criteria:
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164 patients with a histopathological diagnosis of glioma
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Giuseppe Toffoli | Contact | 0434 659 612 | gtoffoli@cro.it |
| Name | Affiliation | Role |
|---|---|---|
| Giuseppe Toffoli | Centro di Riferimento Oncologico di Aviano (CRO) - IRCCS | Principal Investigator |
| Maurizio Polano | Centro di Riferimento Oncologico di Aviano (CRO) - IRCCS | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS | Recruiting | Aviano | Pordenone | 33081 | Italy |
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| ID | Term |
|---|---|
| D005910 | Glioma |
| ID | Term |
|---|---|
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
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| IOV | Recruiting | Padova | Italy |
|
| Azienda Sanitaria Universitaria Friuli Centrale (ASUFC | Recruiting | Udine | 33100 | Italy |
|
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |