2022.1_PC_ID47_EN

In the Stroke DynamiX project, scientists are developing data-driven methods for modelling and predicting stroke progression using machine learning techniques. Two scientific publications from the project have recently been published: Computers in Biology and Medicine presents an approach to mixed-effects additive Bayesian networks that structurally analyses multicentre clinical data and… Read More »Stroke DynamiX: Publications on data-driven stroke research

“Playful work”, combating forced marriage or education for the 60+ generation: the 18 applications approved in the 2nd project call in the innovation program of the Digitalization Initiative of the Zurich Higher Education Institutions (DIZH) use technologies and develop innovative applications to address human needs and values. With funding of… Read More »Innovative projects put people at the centre