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NCT07125274RECRUITINGanonymous

Biomarker-guided Diagnosis of Tuberculosis

Sponsor

Source record

Research Center Borstel

Phase

Source record

Observational Study

Modality

AI-normalized

RNA therapy

Target

AI-normalized

Biomarkers for non-invasive diagnosis of tuberculosis (TB), including mRNA signatures, cellular immunology, and various diagnostic assays (e.g., PATHFAST-LAM, EclLAM, stool PCR).

Indication / condition

AI-normalized

Tuberculosis

Intervention

Source record

Biomarker-guided diagnostic tests

Source & freshness

Source record

NCT ID

NCT07125274

Original source

ClinicalTrials.gov

Source last updated

Aug 15, 2025

Ingested at

Jun 13, 2026

Internal sync

Jun 13, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT07125274

Title

Biomarker-guided Diagnosis of Tuberculosis

Sponsor

Research Center Borstel

Status

RECRUITING

Phase

Observational Study

Condition raw

Tuberculosis

Condition normalized

Tuberculosis

Modality raw

RNA therapy

Modality normalized

RNA therapy

Target raw

Biomarkers for non-invasive diagnosis of tuberculosis (TB), including mRNA signatures, cellular immunology, and various diagnostic assays (e.g., PATHFAST-LAM, EclLAM, stool PCR).

Target normalized

Biomarkers for non-invasive diagnosis of tuberculosis (TB), including mRNA signatures, cellular immunology, and various diagnostic assays (e.g., PATHFAST-LAM, EclLAM, stool PCR).

Interventions

Biomarker-guided diagnostic tests

Public preview

Source record

The ongoing observational study at the University Medical Center Hamburg-Eppendorf aims to identify novel biomarkers for the non-invasive diagnosis of tuberculosis, addressing a significant unmet need in TB diagnostics, particularly for patients unable to produce sputum. The potential for a reliable, non-invasive diagnostic tool could enhance patient management and treatment outcomes, positioning the sponsor favorably in the diagnostic market for infectious diseases. The study's findings may lead to partnerships with diagnostic companies and could influence future product development strategies. Given the global burden of TB, successful outcomes could capture a substantial share of the diagnostics market, which is increasingly focused on rapid and accurate testing solutions.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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