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

The Second General Assembly of the STRATUM project

On 19-20 February 2025, the University Hospital of Gran Canaria Dr. Negrín in Spain hosted the Second General Assembly[…]

STRATUM interview on ZoomNet

Hyperspectral imaging is at the forefront of medical innovation, offering transformative potential in the field of neurosurgery. In a[…]

STRATUM Project Coordinators participate in the 12th Framework Program Conference in Spain

Dr. Gustavo Marrero Callicó and Dr. Himar Fabelo Gómez, coordinators of the STRATUM project, took part in the 12th[…]

The STRATUM project wins the Best Poster Award at the Brain Innovation Days in Brussels 

STRATUM has been honoured with the Best Poster Award at the 4th edition of the Brain Innovation Days. This[…]

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