Jan
Podcast: AI in the Social Economy
Alexander Löser appeared on the Social Economy podcast discussing "Artificial Intelligence in the Social Economy – Visions, Opportunities, and Challenges for 2026."
Awards, papers, releases, media and events. Every notable milestone since 2009.
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Jan
Alexander Löser appeared on the Social Economy podcast discussing "Artificial Intelligence in the Social Economy – Visions, Opportunities, and Challenges for 2026."
Jan

Alexander Löser was invited as an expert on NFDI Data Infrastructures – Connected & Resilient AI Enablers.
Jan
The paper "Longhealth: A question answering benchmark with long clinical documents" by Lisa Adams, Felix Busch, Tianyu Han, Jean-Baptiste Excoffier, Matthieu Ortala, Alexander Löser, Hugo J.W.L. Aerts, Jakob Nikolas Kather, Daniel Truhn, and Keno Bressem was accepted at the Journal of Healthcare Informatics Research.
Sep
Conor Fallon presented DATEXIS's advancements in clinical outcome prediction at the SHIFTHUB DemoDay in Berlin.
Jul
Shonan Seminar Empowering Local Open Source LLMs with Alexander Löser (organizer), Paul Grundmann, and 29 experts from top AI-organisations from four continents.
Jul
Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus Makowski, Alexander Löser and Keno K. Bressem. Nature, NPJ digital medicine 2024.
Jul
Alexander Löser discussed current challenges surrounding artificial intelligence in the interview "Künstliche Intelligenz unter Druck."
Jul
Alexander Löser's keynote piece "Wir laufen Gefahr, zum KI-Kunden zu werden" was published in ATP Journal.
Jun
Alexander Löser was interviewed on rbb24 Inforadio about large language models.
May
Paul Grundmann and Jens-Michalis Papaioannou gave a talk at a workshop with the SMITH Consortium and University of Leipzig (Medizininformatik Initiative).
Apr
Alexander Löser and Paul Grundmann gave a talk, "Clinical Embeddings for Patient Representations," at the BiFold Workshop.
Mar
Alexander Löser gave a talk on applications in medicine for large language models at the KI Kongress hosted by the Konrad Adenauer Foundation (KAS).
Jan
Alexander Löser gave the heibrids lecture "Representing Patients with Large Language Models" at Einstein Center Digital Future.
Jan
Alexander Löser gave a talk at Berliner Sparkasse on "Welche KI-Lösungen braucht der Berliner Mittelstand?"
Jan
The paper "DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment" by Benjamin Winter, Alexei Figueroa, Alexander Löser, Felix A. Gers, Nancy Figueroa, and Ralf Krestel was accepted at LREC-COLING 2024.
Jan
The paper "Data Drift in Clinical Outcome Prediction from Admission Notes" by Paul Grundmann, Jens-Michalis Papaioannou, Tom Oberhauser, Thomas Steffek, Amy Siu, Wolfgang Nejdl, and Alexander Löser was accepted at LREC-COLING 2024.
Jan
The paper "Revisiting Clinical Outcome Prediction for MIMIC-IV" by Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno Bressem, Wolfgang Nejdl, and Alexander Löser was accepted at a NAACL Workshop 2024.
Jan
The paper "Boosting Long-Tail Data Classification with Sparse Prototypical Networks" by Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno Bressem, Stavros Zanos, Felix Gers, Wolfgang Nejdl, and Alexander Löser was accepted at ECML PKDD 2024, and its demo paper was separately accepted at IJCAI 2026 (acceptance rate 27%, 50 of 185).
Dec
Alexander Löser was interviewed by SWR.
Dec
Jens-Michalis Papaioannou and Alexei Figueroa gave a talk on prototypical networks at the ECDF Graduate School Hebridis.
Nov
Alexander Löser published a second study for the BMBF on large language models with a focus on medical applications.
Sep
Alexander Löser gave the keynote "Deutsche Sprachmodelle in der Medizin: Das nächste Wort" at the Berliner Chirurgische Gesellschaft.
Aug
The paper "medBERT.de: A comprehensive German BERT model for the medical domain" by Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan M. Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J.W.L. Aerts, and Alexander Löser was accepted at Expert Systems with Applications (Impact Factor 8.5).
May
BHT Magazine featured a piece on AI and large language models.
May
Alexander Löser, Paul Grundmann, and Michalis Papaioannou gave a talk at a joint seminar with UKB Darmstadt (Iryna Gurevych) and the NLP Group at LMU München (Hinrich Schütze).
Apr
Betty van Aken presented "Prototypical Networks for Interpretable Diagnosis Prediction" at the NLP Summit Healthcare.
Apr
Alexander Löser gave a talk at the L3S Research Seminar (Wolfgang Nejdl).
Apr
Alexander Löser was interviewed in Capital magazine about the race for AI dominance.
Jan
Rudolf Schneider successfully defended his PhD thesis at the University of Stuttgart.
Jan
Alexander Löser was featured in Handelsblatt discussing ChatGPT and large language models.
Jan
Betty van Aken was nominated for the BMBF KI-Newcomer*innen award at KI Camp 2023.
Jan
Alexander Löser appeared on the podcast "Technik aufs Ohr."
Jan
Alexander Löser gave a talk at L3S Hannover on representing patients and predicting clinical outcomes.
Jan
Alexander Löser appeared on a podcast discussing German Large Language Models.
Jan
The German MedBERT model was published on Hugging Face, developed with Keno Bressem and DATEXIS.
Jan
Betty van Aken successfully defended her PhD thesis at the University of Hannover.
Jan
DATEXIS's DFG structural program, focused on foundation models and medicine, was funded with 5+3 million euros.
Jan
Alexander Löser served as a consultant for BMWK research programs regarding large language models.
Jan
Alexander Löser served as Guest Editor for the special issue "LLMs for Medicine" in Artificial Intelligence in Medicine (Elsevier).
Jan
Alexander Löser was interviewed by BMBF/acatech on how the German economy can benefit from local LLMs.