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shinchit.han@scieneers.de2025-10-08 16:20:152025-10-27 11:54:37Throwback to our fall event 2025Content for further reading
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PyData 2025
PyData Berlin 2025 at the Berlin Congress Center was three days full of talks, tutorials, and tech community spirit. The focus was on open-source tools and agentic AI, as well as addressing the question: How can LLMs be used productively and in a controlled manner? We from scieneers gave a presentation on LiteLLM, titled “One API to Rule Them All? LiteLLM in Production”.

Machine learning workflow for evaluating genetic variants based on protein structure embeddings
Missense variants, that is, single amino acid substitutions in proteins, are often difficult to assess. Our machine learning workflow uses protein structure-based graph embeddings to predict the pathogenicity of such variants. In doing so, the structural information enhances existing approaches like the CADD score and provides new insights for genomic medical diagnostics.




























































































