Towards an Intelligent Companion for Recovery, Learning and Growth

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96 - Towards an Intelligent Companion for Recovery, Learning and Growth

This Challenge aims to design an 'intelligent companion' for self-driven healthcare that empowers people to manage their conditions and addresses their unmet needs. The study also looks at using digital healthcare AI solutions for low-cost lifestyle interventions to tackle health inequalities.

Team Members

Co-PI

Serhan Cosar

Member

Riccardo Pala

Member

Prithvi Shrestha

prithvi.Shrestha

Member

Francesca Benatti

francesca.Benatti

Member

Siobhan Campbel

siobhan.Campbel

Member

Mary Larkin

Member

Andrew Garget

Member

Edoardo Ongaro

Member

Alessio Antonini

alessio.Antonini

Member

Francesca Calo

External Collaborators

Betsi Cadwaladr University Health Board (Wales, UK)
Pasquale Innominato

Universitätsklinikum Carl Gustav Carus (Germany)
Julia Shellong

Open Universiteit (Netherlands)
Alexander Peine

Verbal Arts Centre (Northern Ireland, UK)
James Kerr

Verbal Arts Centre (Northern Ireland, UK)
Natalie Divin

Woughton Community Council.gov.uk (England, UK)
Steve McNay

Digital Health and Care Innovation Scotland (Scotland, UK)
Karim Mahmoud

Digital Health and Care (Northern Ireland, UK)
Soo Hun

Foundation for Research and Technology (Greece)
Angelina Kouroubali

UN Sustainable Development Goals

Good Health and Well-being

Quality Education

Industry, Innovation and Infrastructure

Reduced Inequality

OSC Clusters

International Development

Machine learning and AI

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