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SYNAP.dz: Integrated Digital Test Battery Suite Establishing Language as a Digital Biomarker through AI Driven Localized Assessment

Domain:

healthcarenatural language processing

Record type:

paper
Creator:
Zer
Editor:
Inc
Publisher:
Zenodo
Host:avatar

This document presents the Stage 0 conceptual framework of SYNAP.dz, 
an AI-integrated digital assessment platform for speech, language, and 
cognitive functions in Arabic-speaking Algerian populations. The project 
aims to establish language as a digital biomarker for neurological 
diagnostics through culturally and linguistically adapted assessment tools, 
including the adaptation of the Sydney Neurolinguistic Battery (SYDBAT) 
for Arabic-speaking populations. Published to establish formal authorship 
and temporal priority of the SYNAP.dz framework. Proprietary technical 
details are withheld pending institutional registration and intellectual 
property protection procedures.

Visit

doi.org

Languages

Arabic, Algerian Spoken

Tags

digital biomarkerSpeech-Language Pathology/instrumentationArabic NLPneuropsychological assessmentAlgeriaSYDBATAI diagnosticsLanguage Disorders

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution Non Commercial No Derivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode