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Construction of colorectal cancer genomics artificial intelligence system basing on deep learning model

Construction of an intelligent system for prevention and treatment of colorectal cancer basing on big data analysis and deep learning model

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000033893
Enrollment
Unknown
Registered
2020-06-15
Start date
2021-01-01
Completion date
Unknown
Last updated
2020-06-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal cancer

Interventions

Gold Standard:Pathological diagnosis
Index test:Construction&#32
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colorectal&#32
cancer&#32
genomics&#32
artificial&#32
intelligence&#32
system&#32
basing&#32
on&#32
deep&#32
learning&#32
model

Sponsors

Huzhou Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed as colorectal cancer by colonoscopy biopsy; 2. Patients or their agents sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Patients with other malignant tumors; 2. Patients with severe cardiopulmonary disease; 3. The patients had the use history of antibiotics, hormones or intestinal flora preparation 3 months before admission; 4. Patients with severe diarrhea or constipation.

Design outcomes

Primary

MeasureTime frame
Gene expression;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactHan Shuwen

Huzhou Central Hospital

shuwenhan985@163.com+86 57-22555750

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026