Ignite Creation Date:
2025-12-24 @ 3:57 PM
Ignite Modification Date:
2026-01-01 @ 7:36 AM
Study NCT ID:
NCT06824792
Status:
NOT_YET_RECRUITING
Last Update Posted:
2025-02-13
First Post:
2025-02-07
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Optimal Standard Treatment Selection for Solid Tumor Patients by Biologically-informed Multi-agent System
Sponsor:
NING LI
Organization:
Study Overview
Official Title:
Real-world Study to Investigate Optimal Standard Treatment Selection for Solid Tumor Patients by Guided by Biologically-informed Multi-agent System
Status:
NOT_YET_RECRUITING
Status Verified Date:
2025-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
SINGULARITY
Brief Summary:
This study is an exploratory cohort study conducted under real-world conditions, aiming to evaluate the feasibility of an artificial intelligence (AI)-guided standard treatment selection model for advanced solid tumors, as well as its superiority compared to clinician-selected treatment plans. A multi-agent system based on multimodal AI models will rank the priority of standard treatment options based on the personalized information of the patients, including including demographics, clinical information, and multi-omics data. The final treatment plan will be jointly selected by the patient and the clinician from the AI-recommended options, thereby delivering a personalized treatment.
Detailed Description:
This study is an exploratory cohort study conducted under real-world conditions, aiming to evaluate the feasibility of an artificial intelligence (AI)-guided standard treatment selection model for advanced solid tumors, as well as its superiority compared to clinician-selected treatment plans. The study will prospectively collect patient data of multiple dimensions, including demographics, clinical information (pathological classification, tumor staging, imaging findings, previous treatment regimens and their effectiveness, performance status scores), and multi-omics data (DNA gene panel testing, whole-exome sequencing, transcriptome sequencing, etc.). A multi-agent system based on multimodal AI models will rank the priority of standard treatment options based on the personalized information of the patients. The final treatment plan will be jointly selected by the patient and the clinician from the AI-recommended options, thereby delivering a personalized treatment.
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
True
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
True
Is an FDA AA801 Violation?: