Projects

Forschung und Entwicklung von Ansätzen hinsichtlich robustem und sicherem Machine Learning für sicherheits- und verteidigungsrelevante Einsatzsysteme

This project focusses on the interconnected problems of measuring and predicting health and well-being. Health and well-being exist at two levels: within the individual, where we may observe or measur

MIRACLE comprises a consortium of academics and industry partners to understand how machine learning can be utilised to predict the risk of relapse for patients with resected non-small cell lung cance

Application of the Ontosight bioscience knowledge graph to support prediction, validation and better interpretation of Al-generated hypotheses based on data from patients and healthy controls in the c

Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene Weise zu begegnen: durch Transferlernen (bei dem

curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose Partners Universitätsmedizin der Johannes Gutenber

Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such as artificial intelligence, for operational practi

According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public services, as well as distort free markets—potential