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RAi UK Enterprise Fellowships

Projects:

BrainHealthX: Responsible AI-guided solution for early dementia prediction

Dementia is stealing the lives of >55 million people worldwide, with huge societal cost (>$1 trillion p.a.). Despite >$56 billion R&D spend over 30 years, we lack sensitive diagnostics at early stages, when interventions may work best. We co-created—with healthcare partners, clinicians and the public—a responsible, multimodal AI tool (BrainHealthx, BHx) to improve early prediction and patient stratification to optimise interventions for each patient. This RAi Enterprise Fellowship aims to scale-up BHx into a trusted, fully deployable clinical decision support system to help identify who will benefit when from which intervention, ultimately driving precision interventions and new treatments.

Professor Zoe Kourtzi at University of Cambridge - BrainHealthx

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PACER (ProActive Causal ExplaineR)

Our vision is to make autonomous systems (AS) safe, accountable, and trustworthy. We believe that all AS should be equipped with data recorders (or black-boxes) – like mandatory flight-data recorders in aviation. With industry partners, we have developed and demonstrated such recorders as well as recording standards in a range of applications. The aim of the Enterprise Fellowship is to realise a new cloud-based software-as-a-service (SaaS), called PACER (ProActive Causal ExplaineR), which will leverage and analyse recorded event-data logs to anticipate safety issues, provide causal explanations, improve safety, and enhance the understanding and trust of developers, operators, and/or other stakeholders.

Professor Lars Kunze, Bristol Robotics Laboratory (BRL) at University of the West of England (UWE) Bristol

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OPTIcut – AI-Powered Decision Support System for Sustainable Banana Processing

The OPTIcut project, led by Professor David Elizondo, uses computational intelligence to transform banana farming by reducing waste and enhancing sustainability. Collaborating with CORBANA, the University of Malaga, Jaen University, and De Montfort University, the project focuses on refining segmentation algorithms, automating fruit damage detection, and conducting real-world trials. Funding supports GPU upgrades, field equipment, and travel to Costa Rica for stakeholder engagement. By embedding Responsible Research and Innovation (RRI) principles, OPTIcut is poised to deliver impactful, scalable solutions for sustainable agriculture, fostering equitable growth and advancing the circular economy in banana-producing regions.

Professor David Elizondo at De Montfort University (DMU)

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