Condition: Cancer Diagnosis · Liver Cancer, Adult · Cancer Screening · Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are: * Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk. * Identifying which model is more adaptable to the Raman spectrum * Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.
This description comes directly from the study's public registry record.
Jiasheng Xu, MD · +86 18720996980 · 1821286450@qq.com
Always discuss trial participation with your own doctor first.
| The First Affiliated Hospital to Nanchang University | Nanchang, Jiangxi, China | Recruiting |
| The Second Affiliated Hospital to Nanchang University | Nanchang, Jiangxi, China | Recruiting |
| Huashan Hospital Affiliated to Fudan University | Shanghai, Shanghai Municipality, China | Recruiting |
| The Second Affiliated Hospital of Zhejiang University School of Medicine | Hangzhou, Zhejiang, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06822413