Ignite Creation Date:
2024-10-26 @ 3:41 PM
Last Modification Date:
2024-10-26 @ 3:41 PM
Study NCT ID:
NCT06620055
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-09-26
Brief Title:
Development of an Artificial Intelligence Model for Optimising Therapy in Gliomas Gliomas
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Development of an Artificial Intelligence Model for Optimising Therapy in Gliomas
Status:
RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
GLIO-AI
Brief 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 strategicAs 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
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
Detailed Description:
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 strategicAs 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
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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None