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Development of a new diagnostic method for IgG4-related diseases based on machine learning

Development of a new diagnostic method for IgG4-related diseases based on machine learning - Development of a new diagnostic method for IgG4-related diseases based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000039481
Enrollment
800
Registered
2020-02-14
Start date
2019-11-22
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

IgG4-related disease

Interventions

None listed

Sponsors

The Institute of Medical Science, The University of Tokyo
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with IgG4-related disease, other rheumatic and gastroenterologic disorders and healthy controls

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
To establish an algorithm that can efficiently predict the evaluation of systemic organ involvements using validation data.—

Countries

Japan

Contacts

Public ContactMotohisa YAMAMOTO

The Institute of Medical Science, The University of Tokyo Division of Rheumatology, Center for Vaccine and Antibody, IMSUT Hospital

mocha@ims.u-tokyo.ac.jp03-3443-8111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026