25-27 June, 2025
Heidelberg, Germany
This summer, the University of Heidelberg will host the 2nd Sorbonne-Heidelberg Workshop on AI in medicine. This year’s topic is Machine Learning for multi-modal data. This event aims at fostering the dialogue between PhD candidates and senior researchers who are excellent in the relevant fields.
Machine Learning is transforming science, especially the way we do research in medicine. It can analyze non-linear dependencies of structured clinical data, and it is starting to support in the huge amount of existing text and other unstructured information to extract useful information using recent techniques based on large language models. There is also an increasing amount of specific omics data for each patient, which makes it hard to manually inspect all the details. This is where multimodal data analysis comes in, which is the focus of this year’s AI in Medicine workshop. Researchers from Sorbonne and Heidelberg will give keynote speeches to provide insight into their research field, which will fuel discussions.
This workshop is funded by Université franco-allemande/Deutsch-Französische Hochschule and co-funded by the 4EU+ 1CORE project, and it is organized under Flagship 3 of the 4EU+ European University Alliance. Scientific exchange will take center stage through participants’ presentations and posters. Key techniques will be trained during hands-on sessions, and social events invite you to network while experiencing the unique setting of the oldest German university and the environment of a vibrant student city.
The PhD students and their advisors are are invited to apply and present their PhD project or other research work including, but not limited to:
– Multimodal data integration and analysis
– Deep learning architectures and techniques
– Medical data analysis
Please visit the event website for the preliminary program, keynote speakers, information on travel support, and application details. Ideally, application should occur in pairs student/advisor.
If you do apply, please send also a written notice to one of the UniMi representatives in 4EU+ Flagship 3: Prof. Davide Rocchesso davide.rocchesso@unimi.it
