Head of the Research Data Science and its Applications
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…
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…
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…
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
Universitätsmedizin der Johannes…