Achievements and Resources

Publications & Reports

Dive into our latest scientific publications, where our team of experts share cutting-edge research and findings that are shaping the future of treatment strategies for obesity-related cardiovascular disease.

Browse through our comprehensive public deliverables and reports to stay up-to-date with the project’s progress and learn about the milestones we have achieved.

 

Resources & Press Material

Download all our promotional materials, such as flyers and folders, and read our press releases.

 

Scientific Publications

TitleAuthor(s)JournalDateDOI/Link

Public Deliverables & Reports

TitleAuthor(s)DateAccess
D7.3 First AI-POD promotional videoEIBIR31/10/2023DOWNLOAD
D7.2 Communication and dissemination planEIBIR31/10/2023DOWNLOAD
D7.9 Project websiteEIBIR31/07/2023DOWNLOAD
D7.1 Communication kitEIBIR31/07/2023DOWNLOAD
D2.2 Comprehensive photon-counting CT protocolUSZ31/07/2023DOWNLOAD
D5.1 Analysis of governance frameworks for the implementation of AI-driven technologiesKU Leuven30/04/2024DOWNLOAD
D7.5 Initial end-user tutorials and workshopsEIBIR14/05/2024DOWNLOAD

Resources & Press Material

NameDescriptionDateAccess
VideoAI-POD project video31/10/2023LINK
Press releasePress release on the kick-off of the AI-POD project22/05/2023DOWNLOAD
LogoAI-POD logo22/05/2023DOWNLOAD
VideoCollaborating with stakehoLders and end-users for personalized risk assessment and management02/05/2024LINK
VideoECR 2024 Interview: Ulrike Attenberger14/05/2024LINK
VideoECR 2024 Interview: Georg Langs 22/05/2024LINK

AI-POD is a pioneering initiative that leverages Artificial Intelligence to combat obesity-related cardiovascular diseases, offering personalized treatment solutions and aiming to revolutionize healthcare by enhancing efficiency, patient autonomy, and cost-effectiveness.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101080302, and from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 23.00174.

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Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA) or the Swiss State Secretariat for Education, Research and Innovation (SERI). Neither the European Union, SERI nor the granting authority can be held responsible for them.

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