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The scientific community is buzzing on Bluesky 🦋 You can now also follow us there: saezlab.bsky.social
📹 Check out how Karenina works, our open-source framework to evaluate LLMs & agents: doi.org/10.64898/2026.09.01.…
We look forward to the community's feedback. We hope Karenina offers a starting point to extend & build on existing benchmarks.
🧵 We previously introduced Karenina here ➡️ lnkd.in/p/eztscr7n
Led by Francesco Carli (@mr_fcharles), a research effort shared between saezlab & @OpenTargets
This month we welcomed two new PhD students and a new postdoc to the lab, Stanislaus Stein, Amber Fijn and Alicja Wojciechowska. 🎉
Happy to see the peer-reviewed version of SpaCEy now out:
📄 Published paper: nature.com/articles/s41467-0…
💻 Code: github.com/saezlab/SpaCEy
Original preprint: biorxiv.org/content/10.64898…
Many thanks to everyone who contributed to the work and to the reviewers for helping us strengthen the study.
#SpatialOmics #SpatialBiology #GraphNeuralNetworks #ExplainableAI #ComputationalBiology #CancerResearch
Introducing mc-ASTRA, an open-source Python framework for studying how tissues vary and remodel across patients, perturbations, time points and other biological contexts.
Manuscript: biorxiv.org/content/10.64898…
Package: saezlab.github.io/mc-astra/
This work was led by Ricardo Omar Ramirez Flores, jointly supervised with Julio Saez-Rodriguez. Klaus Kruger supported package development, and Francisca Gaspar Vieira and Loan Vulliard contributed to applications available in the documentation.



