Efficient and Secure Health Data Sharing Project Receives €6.6M Funding for University of Turku, Finland

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The Department of Computer Science at the University of Turku secures a significant funding of €6.6 million under the Horizon Europe program for their project on utilizing artificial intelligence (AI) in health data processing. With the aim of enhancing the sharing and security of health data, the university is developing machine learning techniques to protect patient privacy. The three-year project involves collaboration with 20 partners from ten European countries.

Assistant Professor Antti Airola from the University of Turku’s Health Technology department emphasizes the objective of promoting efficient sharing and secure utilization of health data within the European healthcare ecosystem. By employing AI systems, the project intends to assist healthcare professionals in decision-making and preventive care. Machine learning algorithms and computational methods will be developed to handle health data, while ensuring privacy through pseudonymization and anonymization techniques that prevent individual identification.

Professor of Data Analytics Tapio Pahikkala highlights the importance of generating test datasets and statistical models based on real health data to minimize the risk of personal data breaches. To achieve this, new metrics are being developed. The project will focus on case studies related to lung cancer, prostate cancer, and stroke to test the solutions derived from the research.

Assistant Professor Airola adds that the consortium involved in the project encompasses a diverse range of expertise, including researchers, healthcare organizations, and IT companies. This collaboration will contribute to the successful realization of the project’s goals.

The University of Turku’s initiative holds significant potential for the healthcare industry, providing solutions that enhance data sharing, security, and privacy while leveraging the power of AI. With the support of the European Commission’s funding and the expertise of the consortium partners, this project is poised to make a valuable contribution to the future of healthcare.

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In conclusion, the University of Turku’s project on utilizing AI for health data has secured substantial funding of €6.6 million. The project aims to enable more efficient sharing and secure utilization of health data while preserving patient privacy. Through the development of machine learning techniques and innovative computational methods, the project will contribute to preventive care and decision-making in the healthcare sector. The generated solutions will undergo rigorous testing in case studies related to lung cancer, prostate cancer, and stroke. With a consortium of 20 partners from ten European countries, the University of Turku is well-positioned to lead this groundbreaking endeavor.

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