Title:
LUNG CANCER PROGNOSIS PREDICTION SYSTEM BASED ON MULTI-OMICS OF RADIOMICS, PATHOMICS AND GENOMICS
Document Type and Number:
WIPO Patent Application WO/2024/065987
Kind Code:
A1
Abstract:
Provided in the present invention are a lung cancer prognosis prediction system based on multi-omics of radiomics, pathomics and genomics. The system is characterized by comprising: an acquisition module, which is used for acquiring a medical image, a pathological section scanning image, gene test data and radiotherapy radiation dose distribution data before radiotherapy of a patient, and processing same to serve as a feature data set; and a prediction module, which is used for training, for feature data in the feature data set, a prediction model by using a machine learning algorithm, so as to obtain a trained prediction model for lung cancer prognosis prediction.
Inventors:
PAN YUTENG (CN)
SHI LITING (CN)
QIU JIANFENG (CN)
SHI LITING (CN)
QIU JIANFENG (CN)
Application Number:
PCT/CN2022/132945
Publication Date:
April 04, 2024
Filing Date:
November 18, 2022
Export Citation:
Assignee:
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCIENCES (CN)
International Classes:
G16H50/30
Foreign References:
| CN113610845A | 2021-11-05 | |||
| CN112820403A | 2021-05-18 | |||
| CN112635063A | 2021-04-09 | |||
| CN112951406A | 2021-06-11 | |||
| US20210110540A1 | 2021-04-15 |
Attorney, Agent or Firm:
JINAN SHENGDA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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