Actively Recruiting
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
Led by Second Affiliated Hospital, School of Medicine, Zhejiang University · Updated on 2025-04-24
600
Participants Needed
4
Research Sites
151 weeks
Total Duration
On this page
Sponsors
S
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead Sponsor
T
The First Affiliated Hospital of Nanchang University
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Histopathological diagnosis of malignant tumors, including colorectal cancer, gastric cancer, hepatic cancer, pancreatic cancer, and esophageal cancer.
- Patients in normal physiological conditions without any malignant tumors or precancerous lesions.
- Patients with malignant tumor without receiving any interventions, including chemotherapy, surgery, radiotherapy, immunotherapy or other anti-tumor treatments.
- Patients with a histopathological diagnosis of any precancerous lesions or non-malignant disease.
You will not qualify if you...
- Patients with metastatic tumors or in the condition with two or more kinds of malignant tumors at the same time
- Post-cancer treatment patients.
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 4 locations
1
The First Affiliated Hospital to Nanchang University
Nanchang, Jiangxi, China, 330006
Actively Recruiting
2
The Second Affiliated Hospital to Nanchang University
Nanchang, Jiangxi, China, 330008
Actively Recruiting
3
Huashan Hospital Affiliated to Fudan University
Shanghai, Shanghai Municipality, China, 200040
Actively Recruiting
4
The Second Affiliated Hospital of Zhejiang University School of Medicine
Hangzhou, Zhejiang, China, 310009
Actively Recruiting
Research Team
J
Jiasheng Xu, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
11
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