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Evaluation of Alterations about Microbiome between Healthy and Microbial Keratitis Ocular Surface and the Feasibility of Combining High Throughput Sequencing with Artificial Intelligence to Distinguish Microbial Keratitis

Evaluation of Alterations about Microbiome between Healthy and Microbial Keratitis Ocular Surface and the Feasibility of Combining High Throughput Sequencing with Artificial Intelligence to Distinguish Microbial Keratitis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000032542
Enrollment
Unknown
Registered
2020-05-02
Start date
2019-12-11
Completion date
Unknown
Last updated
2020-05-04

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

Conditions

Microbial Keratitis

Interventions

Case series:Nil

Sponsors

State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Shandong First Medical University & Shandong Academy of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Healthy people without infectious keratitis; 2. Patients with infectious keratitis.

Exclusion criteria

Exclusion criteria: 1. Patients participating in other clinical trials; 2. Researchers believe that are not suitable for clinical trials.

Design outcomes

Primary

MeasureTime frame
Microbiome;—

Countries

China

Contacts

Public ContactYusen Huang

State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Shandong First Medical University & Shandong Academy of Medical Sciences

huang_yusen@126.com+86 13791802251

Outcome results

None listed

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