4EU+ Call for participation: 2nd Sorbonne-Heidelberg Workshop on AI in medicine: Machine Learning for multi-modal data

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 through the 4EU+ 1CORE Project. It is organized under Flagship 3 of the 4EU+ European University Alliance. It brings together junior and senior researchers from Sorbonne University, Heidelberg University, and their partner universities in 4EU+. Scientific exchange will take center stage through participants’ presentations & posters, keynotes by invited speakers, and discussions. 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.

We invite you to apply and present your PhD project or other research work including, but not limited to:

• Multimodal data integration and analysis
• Deep learning architectures and techniques
• Medical data analysis

We look forward to welcoming you to Heidelberg!

Program

The preliminary program is available here (PDF)