EpiCFAIR

Epilepsy Cohorts For AI Research (EpiCFAIR)

EpiCFAIR is a global collaboration aimed at improving personalised treatment for epilepsy through artificial intelligence (AI)

EpiCFAIR is a global, multi-cohort study led by Monash University that brings together de-identified real-world clinical data from people with newly diagnosed epilepsy. By integrating these diverse data sources, the project is building a secure and comprehensive resource to develop AI tools that predict the most effective antiseizure medication (ASM) for individual patients.

Our goal is to improve patient outcomes worldwide by reducing the trial-and-error approach in treatment, identifying individuals at risk of drug-resistant epilepsy and supporting personalised care.

ACTRN registration number: ACTRN12625000881437
Ethics Approval: Monash University Human Research Ethics Committee (Project ID: 40732)

Facts and figures

Collaborating Centres

34
Clinical, EEG, MRI, Genetic data types
ISO 9001 Quality Framework

Expression of interest form

What we do

Data collection

De-identified clinical, genetic, EEG and MRI from routine care, contributed by participating epilepsy centres

AI modelling

Machine learning/Deep learning are used to

predict individual responses to antiseizure medication (ASM)
identify indicators of drug-resistant epilepsy

Comparative analysis

Analysis of prescribing patterns across geographic regions.

Security & Privacy

All data are fully de-identified and securely stored at Monash University under robust governance processes.

Vision

To transform the global epilepsy care through data-driven, personalised treatment.

Mission

To build a secure, collaborative network that harnesses clinical data to power AI tools predicting the most effective ASM for epilepsy patients.

Our Global Collaborators

EpiCFAIR brings together clinicians, researchers and centres worldwide with a shared commitment to improving epilepsy outcomes. Hover over the map to see our collaborators

Quality Management System (QMS)

EpiCFAIR is supported by a Quality Management System (QMS) that ensures accurate, consistent and compliant data handling across all sites, providing a secure and standardised approach to research data.

The EpiCFAIR Quality Management System has been reviewed by Monash University Office of the Pro Vice-Chancellor (Research Infrastructure) to follow the framework of ISO 9001. It is the first clinical registry recognised to follow this framework at Monash University.

EpiCFAIR has adopted an ISO 9001-aligned Quality Management System View

Introduction

The EPICFAIR Platform, developed by Monash University’s Epilepsy & Personalised Medicine Group, supports data collection and management for the EPICFAIR research project. The platform aligns with Monash University's research infrastructure standards and applies quality management principles to ensure accuracy, consistency and compliance.

The EpiCFAIR Quality Management System has been reviewed by Monash University Office of the Pro Vice-Chancellor (Research Infrastructure) to follow the framework of ISO 9001. It is the first clinical registry recognised to follow this framework at Monash University

Overview

The EPICFAIR Platform provides a centralized system for managing the electronic data lifecycle of the EPICFAIR project. It supports structured, secure and traceable workflows that span data collection, validation, storage, access and distribution. Its framework is adaptable and can be extended to a range of research and sample-management contexts.

Scope of the Platform

Component	Description
Pre-Approval and Transfer Control	Enforces approval protocols prior to data or sample transfers, ensuring compliance.
Data Collection	Facilitates entry, validation and storage of clinical data, including notes and assessments.
Quality Control	Performs internal data checks to maintain accuracy and consistency.
Storage and Access	Ensures secure data storage with role-based access controls
Data Distribution	Supports compliant reporting and controlled data sharing.

Purpose

The platform’s Quality Management System (QMS) ensures that research data is handled in a standardised, compliant and auditable manner. It establishes consistent workflows, supports readiness for internal quality reviews (iQMS), and enables continuous improvement across data management practices.

The QMS framework provides a foundation for:

Standardised data workflows across research activities
Audit-readiness under Monash University’s internal QMS (iQMS)
Continuous improvement of data handling practices

This foundation allows EPICFAIR to meet current project requirements while maintaining flexibility for future research needs.

Join the EpiCFAIR Network

We invite clinicians and researchers with longitudinal registries of newly diagnosed epilepsy to contribute de-identified datasets with ≥12 months follow-up. Contributing centres will receive

updates on model development and research outputs
eligibility for co-authorship on resulting publications
opportunities for networking, collaboration and knowledge exchange

Ready to collaborate?

Complete the Expression of Interest form and our team will be in touch.

Expression of interest form

Prefer email? EpiCFAIR@monash.edu

Department of Neuroscience

Medicine, Nursing and Health Sciences