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January

26

2026

I

April

26

2026

Rahel Hirsch Center for Translational Medicine Foyer Luisenstr. 65 10117 Berlin

kennedy+swan: The Red Queen Effect

Starting January 26, 2026, the foyer of the Rahel Hirsch Center will host a new exhibition dedicated to a topic central to research at BIH and Charité: artificial intelligence.

January

30

2026

12:00 - 13:00 | Rahel Hirsch Center for Translational Medicine Raum Ingeborg Rapoport (EG) Luisenstr. 65, 10117 Berlin

BIH Lecture | Andrea Ganna "Disease Prediction Using Nation-Wide Health Data and Genetics"

Visiting the BIH – In his lecture at the Rahel Hirsch Centre, Ganna explains how disease risks can be predicted using health registries, genetic data and artificial intelligence. Learn how these approaches enable precision prevention and more equitable health research.

February

10

2026

18:45 - 20:45 | Technische Universität Berlin, Chemiegebäude C130, Str. des 17. Juni 115, 10623 Berlin

BLISS Speaker Series #30 - "The Price of Intelligence: Three Risks Inherent in LLMs"

In the BLISS AI Speaker Series Ahmed Salem who is currently a Researcher at Microsoft Security Response Center (MSRC) and will discuss "The Price of Intelligence: Three Risks Inherent in LLMs", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza.  

February

19

2026

11:00 - 12:30 | online

HIDA Lecture: When AI Performance Misleads

Despite impressive performance in publications, many AI models fail when deployed in real-world settings. One important reason is poor or misleading validation.

February

23

2026

18:30 - 22:00 | idalab GmbH 68 Potsdamer Straße, 10785 Berlin

"The Target-Disease Model Is Dead. AI Can’t Fix It — Yet"

The target-disease model that built modern pharma is dead — not because AI killed it, but because biology walked away from it. As molecular mechanisms are mapped with increasing granularity, biological reality reveals itself as combinatorial, redundant, and fragmented. 

August

24 - 25

2026

Hybrid (Virtual & onsite). Onsite: BIFOLD, Franklin Str. 28/29, 7th Floor, Room 701.

Cedalion Workshop

This scientific workshop introduces researchers to Cedalion, a Python-based toolbox for advanced fNIRS and DOT analysis in naturalistic settings. Built on HOMER3 and AtlasViewer, it integrates machine learning and multimodal data processing for cutting-edge neuroimaging research.