Trials / Unknown
UnknownNCT04641585
Brugada Syndrome and Artificial Intelligence Applications to Diagnosis
- Status
- Unknown
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 144 (estimated)
- Sponsor
- Istituto di Fisiologia Clinica CNR · Academic / Other
- Sex
- All
- Age
- 14 Years – 65 Years
- Healthy volunteers
- Accepted
Summary
Aim of the project is the development of an integrated platform, based on machine learning and omic techniques, able to support physicians in as much as possible accurate diagnosis of Type 1 Brugada Syndrome (BrS).
Detailed description
The aim of BrAID project is to integrate classic clinical guidelines for Brugada Syndrome 1 diagnosis evaluation with innovative Information and Communication Technologies and omic approaches, generating new diagnostic strategies in cardiovascular precision medicine of this disease.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Patients affected by Brugada Syndrome 1 | ECG analysis by Machine Learning algorithms and blood collection for the transcriptomic study of markers possibly associated with the disease |
Timeline
- Start date
- 2021-01-15
- Primary completion
- 2023-03-15
- Completion
- 2023-09-15
- First posted
- 2020-11-24
- Last updated
- 2020-11-24
Locations
6 sites across 1 country: Italy
Source: ClinicalTrials.gov record NCT04641585. Inclusion in this directory is not an endorsement.