The AICCELERATE project intends to build a complete system for scaling up AI-enabled digital solutions for different hospital use cases. The project has ~11 million € budget for 17 partners across Europe. Health data interoperability is a major challenge for the generalizability and reusability of artificial intelligence models in different healthcare settings. I authored a blog…

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Improving Health Research in EU through FAIR Data The FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles were conceptualized to pave the way to machine accessible and actionable data interoperability. There was a growing interest to and application of the FAIR principles in different domains. Health data reseachers have been the leading community to benefit from…

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Federated Machine Learning

Healthcare is one of the most privacy-concerned domains where the management and sharing of patient health data is strictly regulated by regional, national and international legislation (e.g. GDPR, HIPAA). Hence, it is challenging to build machine learning models using datasets of different healthcare and health research organizations/institutes together. The classic approach is to collect datasets…

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