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 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.
They invite you to apply and present your PhD project or other research work including, but not limited to:
Application
Application deadline: May 2, 2025 - Apply here
The registration is only successful with an accepted abstract of 500 words. If you are a co-author of another submission, please note this in the form. The accepted paper will be presented in the workshop as an oral presentation, poster, or hands-on session, and published in the conference proceedings.
Manuscripts must be submitted electronically in searchable PDF format, which is up to 8 pages (text, figures, and tables) plus up to 2 pages of references. Please name the submitted PDF file following this pattern: "{LastName}_{KeyWords}.PDF".
Please contact Astrid D'Alessandro if you have any questions: Astrid.DAlessandro@medma.uni-heidelberg.de.