The project aims to analyze the opportunities and challenges presented by the convergence of artificial intelligence (especially in the form of deep learning systems) with rapid advances in modern genome analysis and genome editing, and to identify the social and political implications involved.
The joint project DESIREE is part of the BMBF's (German Federal Ministry of Education and Research) funding program “Research on ethical, legal and social aspects (ELSA) of digitization, big data and artificial intelligence in medical research and healthcare”. Based on three case study examples, the DESIREE consortium analyzes key ethical, social, professional and technical aspects of AI-based decision support systems in diagnostics, therapy and care.
The objective of the EU project Sano is to establish a centre for the advancement of computational medicine and to develop sophisticated methods including AI approaches for the prevention, diagnosis and treatment of disease. The center is located in Kraków, Poland and is being supported by a consortium of renowned research institutions.
The aim of the already completed study was to develop an indicator-supported evaluation tool, which can be used to assess how much individual innovations or measures taken by actors in the healthcare sector contribute to achieving twelve overarching goals and thus to a positive overall development of the healthcare system. The result was the evaluation tool ZEIG, which is available online at www.zeig-analyse.de.
Fraunhofer Institute for Systems and Innovation Research ISI