eprintid: 36956
rev_number: 15
eprint_status: archive
userid: 5878
dir: disk0/00/03/69/56
datestamp: 2025-08-28 09:06:53
lastmod: 2025-08-28 13:33:27
status_changed: 2025-08-28 09:06:53
type: book
metadata_visibility: show
title: 2nd Sorbonne-Heidelberg Workshop on AI in Medicine: Machine Learning for Multi-modal Data
subjects: ddc-004
subjects: ddc-570
subjects: ddc-610
divisions: i-65200
keywords: Medicine, artificial intelligence, machine learning
cterms_swd: Medizin
cterms_swd: Künstliche Intelligenz
cterms_swd: Maschinelles Lernen
abstract: 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. It brings together junior and senior researchers from Sorbonne University, Heidelberg University, and their partner universities in 4EU+. Scientific exchange takes center stage through participants' presentations & posters, keynotes by invited speakers, and discussions. Key techniques are 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.
date: 2025
publisher: Heidelberg University Library
id_scheme: DOI
id_number: 10.11588/heidok.00036956
schriftenreihe_cluster_id: sr-16
schriftenreihe_order: 2
ppn_swb: 1934943681
own_urn: urn:nbn:de:bsz:16-heidok-369566
language: eng
bibsort: HESSERJUER2NDJOINTDF2025
full_text_status: public
series: Joint DFH/UFA workshop on AI in Medicine
volume: 2
place_of_pub: Heidelberg
pages: 80
editors_name: Hesser, Jürgen
editors_name: Fresquet, Xavier
citation:   Hesser, Jürgen ; Fresquet, Xavier, eds.  (2025) 2nd Sorbonne-Heidelberg Workshop on AI in Medicine: Machine Learning for Multi-modal Data.    Joint DFH/UFA workshop on AI in Medicine, 2 .  Heidelberg University Library, Heidelberg.      
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/36956/1/DFH_Proceedings_2025_Content_20250821b.pdf