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Prediction of disease by artificial intelligence based on temporal and spatial transcriptomics of human vision development

Prediction of disease by artificial intelligence based on temporal and spatial transcriptomics of human vision development

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074817
Enrollment
Unknown
Registered
2023-08-17
Start date
2022-06-25
Completion date
Unknown
Last updated
2023-08-21

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

Conditions

retinopathy of prematurity

Interventions

Case series:N/A

Sponsors

Shenzhen eye hostpital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) No gender limitation, no age limitation; 2) Patients/guardians voluntarily donate eyeballs; 3) Previously, voluntary retention of samples was used to establish a biological sample bank, with informed consent signed by the child's guardian.

Exclusion criteria

Exclusion criteria: 1) Destruction of eyeball structure; 2) Previously refused to use the sample for subsequent researchers.

Design outcomes

Primary

MeasureTime frame
Temporal and spatial transcriptomics;

Countries

China

Contacts

Public ContactGuoming Zhang

Shenzhen eye hostpital

13823509060@163.com+86 138 2350 9060

Outcome results

None listed

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