We are delighted to announce The Health Privacy Challenge 🫐🍅, an interactive opportunity for advancement at the intersection of computational biology and privacy research, brought to you as a part of CAMDA Conference at #ISMB/ECCB2025 

Register to participate: https://benchmarks.elsa-ai.eu/?ch=4 

Using machine learning to predict the effects of rare genetic variants.

Our method DeepRVAT allows a fully data-driven approach to exploit annotated variants. Read the DKFZ’s press release.

Check out our publication in Nature Genetics for more information.

One framework to rule them all: SpatialData.

Excited to see our efforts in unifying and integrating multimodal spatial omics data highlighted in EMBL’s press release.

Check out our publication in Nature Methods for more information.

In a recent interview, Oliver explains how AI will shape the life sciences and why EMBL is uniquely positioned for this new era.

(German only)

In der aktuellen Episode des Wissenschaftspodcasts “Der Code des Lebens” befassen wir uns mit dem Thema “KI in der Genetik” und erläutern, was ein Croissant mit einer Krebszelle gemeinsam hat.

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