Welcome to the STRATUM project

The new generation of neuronavigation systems for improved brain tumor surgeries

Our Goals

STRATUM will develop a clinically demonstrated 3D Decision Support Tool for brain surgery guidance and diagnostics based on multimodal data processing through Artificial Intelligence algorithms that will be integrated as an energy-efficient Point-of-Care computing tool

SO-1

To foster advances in personalized medicine

SO-2

To increase the intraoperative diagnostic accuracy

SO-3

To reduce surgery time

SO-4

To improve cost- and energy-efficiency of surgery

SO-5

To clinically demonstrate the STRATUM prototype

SO-6

To prepare the business plan and the TRL9 roadmap

Stay Tuned for News & Events

Follow up on all information and events related to the STRATUM project

Max Verbers visits ULPGC and University Hospital of Gran Canaria Dr. Negrín

At the end of October 2024, Max Verbers, a PhD candidate from Eindhoven University of Technology (TU/e), visited the[…]

Understanding the Mental Health Impact of Brain Cancer Patients

Understanding the Mental Health Impact of Brain Cancer Patients Espinosa-Sánchez A Every year, thousands of people receive a cancer[…]

STRATUM Consortium participates in the Euromicro Conference on Digital System Design

Last week, on 28-30 August, the STRATUM team participated in the Euromicro Conference on Digital System Design (DSD). Euromicro[…]

STRATUM at the Pint of Science Event in Las Palmas de Gran Canaria

On Tuesday, 14 May, STRATUM participated in the Pint of Science event in Las Palmas de Gran Canaria at[…]

Our Consortium

STRATUM partners share a common vision to create an innovative 3D Decision Support Tool for brain surgery guidance and diagnostics

The STRATUM consortium comprises a diverse team, encompassing optical and imaging engineers, physicists, software engineers, clinicians, and industry stakeholders

Our Methodology

The STRATUM project has a duration of 5 years (60 months), and its workflow will follow an interactive, iterative and incremental methodology

Our Results

We are ensuring that our research findings are accessible to readers by offering open access to our publications and public deliverables