Ignite Creation Date:
2024-10-26 @ 3:43 PM
Last Modification Date:
2024-10-26 @ 3:43 PM
Study NCT ID:
NCT06653478
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-10-20
Brief Title:
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
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:
None
Brief Summary:
To improve the accuracy of risk prediction screening and treatment outcome of cancer we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information image features pathological features and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database
Detailed Description:
The main aims are as follows
1 To establish a data platform for multi-modal information of common tumors lung cancerpulmonary nodules stomach and colorectal cancers electronic medical records including routine clinical detection treatment outcome pathological image data medical imaging CT MRI ultrasound nuclear medicine etc multiple omics data genome transcriptome and metabolome proteomics omics data etiology and carcinogenic exposure information
2 We will make use of artificial intelligence technology to create the multi-modal medical big data cross-analysis technology and the above disease individualized accurate diagnosis and curative effect prediction models In order to solve the three key problems of multi-modal data fusion mining such as unbalanced small sample size and poor interpretability we will establish an artificial intelligence recognition algorithm for image images and pathological images and use image processing and deep learning technologies to mine multi-level depth visual features of image data and pathological data In addition we will use bioinformatics analysis algorithms to conduct molecular network mining and functional analysis of molecular markers at the level of multiple omics technologies pathologic genomic transcriptome metabolome proteome etc
1 To establish a data platform for multi-modal information of common tumors lung cancerpulmonary nodules stomach and colorectal cancers electronic medical records including routine clinical detection treatment outcome pathological image data medical imaging CT MRI ultrasound nuclear medicine etc multiple omics data genome transcriptome and metabolome proteomics omics data etiology and carcinogenic exposure information
2 We will make use of artificial intelligence technology to create the multi-modal medical big data cross-analysis technology and the above disease individualized accurate diagnosis and curative effect prediction models In order to solve the three key problems of multi-modal data fusion mining such as unbalanced small sample size and poor interpretability we will establish an artificial intelligence recognition algorithm for image images and pathological images and use image processing and deep learning technologies to mine multi-level depth visual features of image data and pathological data In addition we will use bioinformatics analysis algorithms to conduct molecular network mining and functional analysis of molecular markers at the level of multiple omics technologies pathologic genomic transcriptome metabolome proteome etc
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