MIRACLE comprises a consortium of academics and industry partners to understand how machine learning can be utilised to predict the risk of relapse ...
Severely ill children, who are prohibited from having direct contact with relatives, should be enabled to meet their parents or close caregivers in ...
curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose ...
The project GreenTwin (Green digital twin with artificial intelligence for CO2-saving cooperative mobility & logistics in rural areas) is dedicated to ...
Atherosklerose-Targets in Thrombo-Inflammation Partners Universitätsmedizin der Johannes Gutenberg-Universität Mainz TRON - Translationale Onkologie ...
Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene ...