Account of the Saez-Rodriguez lab at Heidelberg University Lab members tweet about our news, activities & publications Also at: saezlab.bsky.social
Heidelberg, Germany
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The scientific community is buzzing on Bluesky 🦋 You can now also follow us there: saezlab.bsky.social
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How do we know whether a biomedical foundation model has learned something biologically meaningful - rather than simply learned to excel on a narrow benchmark? See our new Perspective by @JulioSaezRod and Philipp Sven Lars Schäfer with Nikolas Kalavros & Gustavo Stolovitzky
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Perspective ➡️ doi.org/10.1038/s41592-026-0…
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⬇️ Check out this new postdoctoral fellowship to be jointly hosted by Mathew Garnett's lab and our lab!
lnkd.in/p/eZUYhWmz
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Check out our recent review ➡️ "Towards Principled Evaluation of Single-Cell Perturbation Prediction Models"
More on LinkedIn post: lnkd.in/p/dKuF6f7A
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🧵ParTIpy, our Python package for Pareto Task Inference just got published in Molecular Systems Biology (Peer reviewed at Review Commons)
🔗 Manuscript: link.springer.com/article/10…
💻 Code: github.com/saezlab/partipy
📚 Docs: partipy.readthedocs.io/en/la…
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This work was led by @psl_schaefer with support from Leoni Zimmermann, P. Leo Burmedi, @tanevski , Miri Adler and her team (Avia Walfisch, Noa Goldenberg, Shira Yonassi, Einat Shaer Tamar). @JulioSaezRod and @roramirezf94 supervised the work.
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🧵 New preprint: Logic models can simulate cancer signalling & screen drug targets in silico, but they need perturbation data & hand-curated networks patients lack.
We present FICUS for building dynamic logic models directly from patient omics.
📄 doi.org/10.64898/2026.06.19.…
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FICUS bundles COSMOS + CellNOpt into one modular, data-driven workflow for patient stratification & mechanistic hypothesis generation in precision oncology.
📦 R package: github.com/saezlab/ficus
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