NCT04641585: BrAID

Brugada Syndrome and Artificial Intelligence Applications to Diagnosis

Status unknown NA Last updated 24 November 2020

What this trial tests

NA trial testing Patients affected by Brugada Syndrome 1 in Brugada Syndrome 1 in 144 participants. Status unknown.

Timeline

15 January 2021

Primary endpoint
15 March 2023

15 September 2023

Quick facts

Lead sponsor	Istituto di Fisiologia Clinica CNR
Phase	NA
Status	Status unknown
Study type	INTERVENTIONAL
Allocation	non randomized
Design	parallel
Masking	none
Primary purpose	diagnostic
Enrollment	144
Start date	15 January 2021
Primary completion	15 March 2023
Estimated completion	15 September 2023
Sites	6 locations across Italy

Drugs / interventions tested

• Patients affected by Brugada Syndrome 1

Conditions studied

• Brugada Syndrome 1 — all drugs for Brugada Syndrome 1 →

Sponsor

Istituto di Fisiologia Clinica CNR

Who can join

Adults 14 to 65, any sex, with Brugada Syndrome 1. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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).

Publications & conference data

6 peer-reviewed publications reference this trial (live from Europe PMC):

1. Insight into the Functional Dynamics and Challenges of Exosomes in Pharmaceutical Innovation and Precision Medicine.
   Sharma A, Yadav A, Nandy A, Ghatak S. · · 2024 · cited 40× · PMID 38931833 · DOI 10.3390/pharmaceutics16060709
2. Basic Pathogenic Mechanisms and Epigenetic Players Promoted by Extracellular Vesicles in Vascular Damage.
   Schiano C, Balbi C, de Nigris F, Napoli C. · · 2023 · cited 7× · PMID 37108672 · DOI 10.3390/ijms24087509
3. Cardiac Channelopathies: Clinical Diagnosis and Promising Therapeutics.
   Dib Nehme R, Sinno L, Shouman W, Ziade JA, et al · · 2025 · cited 4× · PMID 40281647 · DOI 10.1161/jaha.124.040072
4. Digital health technologies and artificial intelligence in cardiovascular clinical trials: A landscape of the European space.
   Lampreia F, Madeira C, Dores H. · · 2024 · cited 4× · PMID 39291150 · DOI 10.1177/20552076241277703
5. The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.
   Morales MA, Piacenti M, Nesti M, Solarino G, et al · · 2021 · cited 3× · PMID 34645390 · DOI 10.1186/s12872-021-02280-3
6. Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG.
   Vozzi F, Pedrelli L, Dimitri GM, Micheli A, et al · · 2024 · cited 2× · PMID 38333823 · DOI 10.1016/j.heliyon.2024.e25404