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Study identifier: NCT06822413 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis

Condition: Cancer Diagnosis · Liver Cancer, Adult · Cancer Screening  ·  Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University

PhaseN/A
Planned participants600
Who can joinAll sexes, N/A to no upper limit
Healthy volunteersYes

About this study

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.

Talk to the study team

Jiasheng Xu, MD  ·  +86 18720996980  ·  1821286450@qq.com

Always discuss trial participation with your own doctor first.

Locations (4)

The First Affiliated Hospital to Nanchang UniversityNanchang, Jiangxi, ChinaRecruiting
The Second Affiliated Hospital to Nanchang UniversityNanchang, Jiangxi, ChinaRecruiting
Huashan Hospital Affiliated to Fudan UniversityShanghai, Shanghai Municipality, ChinaRecruiting
The Second Affiliated Hospital of Zhejiang University School of MedicineHangzhou, Zhejiang, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT06822413