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Multi-modal Multi-omics Deep Learning Model to Predict Molecular Subtypes and Prognosis of Prostate Cancer: A Multi-centre Study

Multi-modal Multi-omics Deep Learning Model to Predict Molecular Subtypes and Prognosis of Prostate Cancer: A Multi-centre Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200064329
Enrollment
Unknown
Registered
2022-10-02
Start date
2022-10-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Prostate Cancer

Interventions

Observation:No Intervention

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Minimum enrollment age > 18 years; 2. Do not set a maximum age (represented by <100 years old); 3. The patient is suspected of having prostate cancer or the patient is pathological diagnosed with prostate cancer.

Exclusion criteria

Exclusion criteria: NA

Design outcomes

Primary

MeasureTime frame
Pathology;Molecular Subtypes;Biochemical Recurrence;—

Countries

China

Contacts

Public ContactRui Chen

Shanghai Changhai Hospital

drchenrui@foxmail.com+86 13764301103

Outcome results

None listed

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