What question did this study set out to answer?

The project aims to develop an AI-driven digital assessment platform to use language as a biomarker for neurological conditions.

May 8, 2026Open Access

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

Key Points

The project aims to develop an AI-driven digital assessment platform to use language as a biomarker for neurological conditions.
Developed a conceptual framework for SYNAP.dz to integrate AI in language assessments.
Adapted the Sydney Neurolinguistic Battery for Arabic-speaking Algerians to create culturally relevant tools.
Focused on speech, language, and cognitive functions assessment.
Formal authorship established for the SYNAP.dz project framework.
Adaptation of assessment tools aimed at improving diagnostic accuracy in Arabic-speaking populations.

Abstract

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.

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

Key Points

Abstract

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