AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. |
| ClinicalTrials.gov Identifier: NCT06035250 |
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Recruitment Status :
Recruiting
First Posted : September 13, 2023
Last Update Posted : September 28, 2023
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Sponsor:
Chinese Academy of Sciences
Collaborators:
Peking University Cancer Hospital & Institute
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Yunnan Cancer Hospital
Henan Cancer Hospital
Zhenjiang First People's Hospital
First Hospital of China Medical University
Cancer Hospital of Guangxi Medical University
Peking University People's Hospital
Tianjin Medical University Cancer Institute and Hospital
The First Affiliated Hospital of Zhengzhou University
Nanfang Hospital, Southern Medical University
The Affiliated Hospital of Qingdao University
Ruijin Hospital
Sixth Affiliated Hospital, Sun Yat-sen University
Peking Union Medical College Hospital
Xiangya Hospital of Central South University
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
The First Affiliated Hospital of Soochow University
First Affiliated Hospital, Sun Yat-Sen University
Fujian Medical University Union Hospital
Fujian Cancer Hospital
San Raffaele University Hospital, Italy
Information provided by (Responsible Party):
Di Dong, Institute of Automation, Chinese Academy of Sciences
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No Study Results Posted on ClinicalTrials.gov for this Study
| Recruitment Status : | Recruiting |
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| Estimated Primary Completion Date : | August 31, 2024 |
| Estimated Study Completion Date : | December 31, 2029 |