EligibleTrials

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

Recruiting · NCT06822413 · Observational (researchers observe without assigning treatment) · Lead sponsor: Second Affiliated Hospital, Zhejiang University, School of Medicine

View the official record on ClinicalTrials.gov →
Colorectal cancerPancreatic cancer

Interventions studied

No Interventions

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.

Who can take part

Age range
No age limits stated
Sex
All (male and female)
Healthy volunteers
Yes - healthy volunteers may be accepted
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

8 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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