Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Yang Jin
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.
Artificial Intelligence
Deep Learning
Lung Cancer
Lung; Node
Stomach Cancer
Colon Cancer
Cancer Risk
Cancer Screening
Cancer, Treatment-Related
The main aims are as follows: 1. To establish a data platform for multi-modal information of common tumors (lung cancer/pulmonary 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 Type : | OBSERVATIONAL |
| Estimated Enrollment : | 3000 participants |
| Official Title : | Development of an Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment Based on Multimodal Data Fusion Using Deep Learning Technology |
| Actual Study Start Date : | 2022-06-01 |
| Estimated Primary Completion Date : | 2025-10 |
| Estimated Study Completion Date : | 2026-10 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | 18 Years to 75 Years |
| Sexes Eligible for Study: | ALL |
| Accepts Healthy Volunteers: | 1 |
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RECRUITING
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China, 430000