Condition: Lung Neoplasms · Neoadjuvant Therapy · Immunotherapy · Sponsor: Peking University People's Hospital
This project aims to innovatively integrate multi-omics data, including plasma metabolomics, radiomics, and cfDNA multi-level information, combined with survival data (e.g., RFS), to establish a novel multidimensional approach for noninvasive postoperative recurrence monitoring in lung cancer using artificial intelligence algorithms. The goal is to develop a new noninvasive recurrence monitoring system for lung cancer.
This description comes directly from the study's public registry record.
Kezhong Chen · +86-010-88325983 · mdkzchen@163.com
Yue He · +86-010-88325983 · hy771999@163.com
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| Peking University People's Hospital | Beijing, Beijing Municipality, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07291921