AI-powered curation and publishing of personal health data

A European consortium of 14 partners, coordinated by Maastricht University, has received €7.7 million euros in funding to streamline the curation and publishing of personal health data with the help of artificial intelligence. Ultimately, such improved health data management can support preventive and personalized medicine, as well as clinical research. The European Commission has set itself an ambitious goal: by 2030, citizens shall have full possession of their data, including health data, and have the necessary skills for making competent decisions about that data. However, reuse of personal health care data is particularly difficult. Due to a host of challenges, much of the available personal health data is neither curated nor reusable for advanced algorithms supporting preventive and personalised medicine and clinical research. The new research project AIDAVA (for "AI-powered Data Curation & Publishing Virtual Assistant") has set out for a quantum leap in automating personal health data curation and publishing by orchestrating multiple Artificial Intelligence (AI)-based solutions. These solutions will focus on fundamental questions regarding data quality, data interoperability, trustworthiness of automation, language diversity, and reusability of already collected data.