research. develop. create.
Our R&D is focused on reimagining stroke rehabilitation through AI, VR, neuroscience, and real-world therapy data.
We research, test, and build technologies that make recovery more adaptive, measurable, and meaningful — because for us, innovation only matters when it improves people’s lives.
Research @ AI Department
Building adaptive intelligence for rehabilitation
We develop AI systems that transform motion, performance, and patient data into personalized insights — helping rehabilitation become more measurable, responsive, and tailored to each patient’s recovery journey.
why r&d matters
Stroke rehabilitation is complex. Every patient recovers differently, every movement tells a story, and every therapy session generates valuable information. Our R&D focuses on transforming that complexity into intelligent systems that help therapists understand progress, personalize therapy, and keep patients engaged over time.
Personalisation
Braining focuses mainly in personalisation. We are researching and developing models to help healthcare professionals make better decisions.
Prediction
Predictive models are part of our essense. As so, we are currently working in developing, testing and validating those, to be implemented in our current technologies.
Explanation
Recently, we have started working in Explainable AI as part of our efforts to make our technology clear, easy-to-use and trustworthy for our clinicians.
our numbers
in AI research
3
MSc Dissertations
In collaboration with University of Lisbon & Politecnico di Torino
2
Book chapters
In collaboration with the Technical University of Porto
+10
Scientific Summits
Including the World Conference of Virtual Reality & IJUP
Research @ VR Department
We develop immersive tailored-made therapy
Our core is to design & develop serious VR games for post-stroke rehabilitation, combining all kinds of therapy domains. But we're one step ahead. We're building smart games that change to shape to the patient's context & needs
why r&d in virtual reality
Each stroke survivor, is a different patient; meaning that rehabilitation needs to be personalized. It is crucial to develop technologies that help this personalisation happen, while making recovery easy to access, also giving te survivor some independence back. But the technology needed fot this to happen is complex. At Braining, we did it; but we heavily believe that further research and validation will make it even better and safer.
Personalisation
Our AI models communicate to the VR platform, rearanging our games taking into account the patient's needs, limiations & context.
Monitorisation
It is important for the clinical team to be aware of the patient's progress. As so, we track it and communicate it to the team through detailed and insightful reports.
Tracking
We are able to track and signal impairments, the progress of those existant and other detailed insights through the headset alone - a technology developed at Braining - helping clinicians track progress better.
our scope of r&d
envoirnment
design
Design ecologic & ergonomic envoirnments & design sound experiences along those
unity dev
Developing modular serious games
accessability
Research how accessability can be applied to the serious VR experiences, as stoke rehabilitation should be for everyone that needs it.
validation
Validate the technology used and the serious games to make sure it's a fit for strke recovery.
our numbers
in VR research
1
MSc Dissertations
In collaboration with University of Lisbon
2
Book chapters
In collaboration with the Technical University of Porto
+5
Scientific Summits
Including the World Conference of Virtual Reality & ConnectHub
Creating knowledge
Poster presented at IJUP – Investigação Jovem da U.Porto annual scientific meeting (13th edition). Abstract published at "Book of Abstracts Young Researchers Meeting of U.Porto" (ISBN: 978-989-746-462-1)
Improving the response capacity of healthcare facilities through the anticipation of urgent readmissions in stroke patients
Fernandes, Leonor 1,2 ; Rodrigues, David 1 ; Ribeiro, João 1
Stroke mortality prediction for virtual rehabilitation: An explainable AI approach
Oguama, Prosperity 1,3 ; Fernandes, Leonor 1,2 ;
Rodrigues, David 1 ; Ribeiro, João 1
Oral presentation at the WORLD CONFERENCE ON VIRTUAL REHABILITATION (25 & 26 JUNE 2026) in Ireland. Abstract published at Sage Journals "JMedXR Abstracts: XR4REHAB Conference" (doi.org/10.1177/29941520261459318)
Consumer VR for Home Stroke Rehab: Assessing Motor Impairment Under Sensing Constraints
Golub, Ilia 1,3 ; Oguama, Prosperity 1,3 ; Rodrigues, David 1 ; Ribeiro, João 1
Poser presentation at the WORLD CONFERENCE ON VIRTUAL REHABILITATION (25 & 26 JUNE 2026) in Ireland.