Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
Recruiting
Observational Study
Cancer Diagnosis
Liver Cancer, Adult
Cancer Screening
Colorectal Cancer (CRC)
Gastric Cancers
Normal Physiology
Pancreatic Cancer, Adult
Raman Spectroscopy
Deep Learning Model
Esophageal Cancer
Malignant Tumours
Precancerous Conditions
Pancreatitis
Adenoma Colon Polyp
Gastric Ulcer
Oesophagitis
Cirrhoses, Liver
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Sex
- Any
- Study type
- Observational
- Participants needed
- 600 (estimated)
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine · Other
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
Check Your Eligibility
About This Trial
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 iden…
Trial Locations
Loading…
Loading trial locations…
Eligibility Criteria
Inclusion Criteria:
* 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…
Contacts