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PRECISEPREVENT

The Project

Welcome to PrecisePrevent, a multidisciplinary research initiative that brings together expertise in neuroscience, brain health, biomedical engineering, data science, and artificial intelligence to advance personalized prevention.

PrecisePrevent aims to better understand, preserve, and promote brain health throughout the life course by combining scientific research, technology, and personalized interventions.

Brain health and artificial intelligence
OUR MISSION

Personalized prevention for better brain health.

By harnessing multimodal data, advanced data analysis, machine learning, and Explainable Artificial Intelligence (XAI), PrecisePrevent seeks to generate meaningful insights into brain health determinants and improve our understanding of adherence to lifestyle interventions.

A central goal of the project is to develop personalized prevention measures that adapt to individual needs, characteristics, and behaviours.

Through the integration of digital technologies, personalized recommendations, and enhanced user experiences, PrecisePrevent aims to support long-term engagement with healthy lifestyle interventions.

OUR OBJECTIVE

From data to personalized prevention.

01

Understand

Identify the determinants associated with brain health and lifestyle intervention adherence.

02

Predict

Develop models capable of predicting adherence to lifestyle interventions.

03

Personalize

Provide personalized prevention measures adapted to individual needs and behaviours.

04

Validate

Evaluate personalized technological and clinical interventions using scientific evidence.

WORK PLAN

Research Work Packages

The PrecisePrevent work plan combines research, technology development, user experience, intervention implementation, validation, and data management.

WP0 — Management, Coordination and Dissemination

Project management, scientific coordination, communication, quality assurance, and dissemination of project outcomes.

WP1 — Data Analysis and Explainable Artificial Intelligence

Advanced data analysis, machine learning and Explainable AI models for understanding brain health and predicting adherence.

WP2 — Enhanced User Experience and Personalized Engagement

User-centred design, personalized gamification, and digital experiences that improve engagement.

WP3 — Personalized Lifestyle Intervention Implementation

Implementation, deployment and maintenance of personalized lifestyle interventions.

WP4 — Technical and Clinical Validation

Technical and clinical validation of personalized prevention methods and interventions.

WP5 — Research Data Management and Data Repository

Development of a FAIR data repository to support scientific collaboration and research.