News

Our paper "Federated Electronic Health Records for the European Health Data Space" by Raab et al. was just published in The Lancet Digital Health. This collaborative effort between the MaD Lab and international experts in medicine, digital health and health policy, presents a novel approach to handl...

Bjoern Eskofier, Chair of Machine Learning and Data Analytics, has now been awarded by the Unipreneurs initiative under the patronage of the German Federal Ministry of Research and the German Federal Ministry of Economics. The Unipreneurs initiative aims to identify and reward university professo...

Our new open-access article Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach by Dumbach et al. was published in the Journal of Evolutionary Intelligence. We describe a web mining approach to create a novel data set i...

We are happy to share the news that our latest systematic review on Mobile Health Apps in Breast Cancer Care by Flaucher et al. is now published in The Oncologist. With our systematic review, we investigated current methodology used to evaluate of mobile health interventions that are used in breast ...

Calling all researchers passionate about healthcare data! Join us at our workshop, "Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data," held at the 'Mensch und Computer 2023' in September in beautif...

Communication and sensing in current wireless systems Guest Talk by Prof. Khalida Ghanem Khalida Ghanem is a guest professor visiting the MaD Lab at the moment. For her outstanding scientific achievements, she received one of the Humboldt Foundation's coveted Georg Forster Awards. She will int...

We are thrilled to announce that Dario Zanca has received the Emerging Talents Initiative (ETI) funding in 2023 for the preparation of a research project that aims to advance research in human-inspired deep learning systems and their implications in terms of behavioral plausibility, robustness, and ...

We were exceptionally happy to present our SMART Start project to the Federal Minister for Health Karl Lauterbach! This project is funded by the Bundesministerium für Gesundheit with 3.54 Million € and develops an integrative, digital care model for pregnant women. A project with FAU: Mach...

Abstract: Clustering is at the very core of machine learning, and its applications proliferate with the increasing availability of data. However, as datasets grow, comparing clusterings with an adjustment for chance becomes computationally difficult, preventing unbiased ground-truth comparisons and ...

We are happy to share the news that our user study on Active Learning of Ordinal Embeddings by Löffler et al. is now published in the Transactions on Machine Learning Research (TMLR), see OpenReview. This work improves upon our prior work on information retrieval in a football trajectory dataset (se...