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Computational Biology @ETH: data-driven modeling & simulation of emerging phenomena in development & disease https://bsse.ethz.ch/cobi https://youtube.com/@cobi-ethz

Nature Nanotechnology, Published online: 11 June 2026; doi:10.1038/s41565-026-02179-0The Perspective highlights key challenges in mechanobiology, including the need to engineer multicellular reference models, develop and refine biophysical methods to manipulate and quantify biomechanical properties across scales and establish theoretical frameworks to interpret complex mechanobiological phenomena.

One unified mathematical framework, patterns in 1D/2D/3D, faster than Turing. 🧵 Thread: bsky.app/profile/iber... 📄 Paper: 10.1016/j.newton.2026.100557 ⚙️COMSOL: www.comsol.com/paper/simula...

The forces that shape cells, tissues – and medicine: How #mechanobiology has evolved👇🏽 www.linkedin.com/posts/eth-d-...

Thrilled to see our #DCM paper out in @cp-newton.bsky.social! 🎉 How do cells self-organize into complex patterns so quickly during development? We show that #directed #cell #migration — chemotaxis, durotaxis, differential adhesion — is a surprisingly fast & versatile patterning engine. 🧵👇

Researchers from D-BSSE, institutions in Basel and their international collaborators show how #mechanobiology is evolving – from studying individual molecules to understanding complex cellular systems...

How can cells self-organize rapidly into complex patterns during development? Let’s explore a powerful and underappreciated mechanism: Directed Cell Migration (DCM). Preprint @biorxivpreprint.bsky.social : doi.org/10.1101/2025... 👇Thread 🧵(1/11)

Online now: Directed cell migration is a versatile mechanism for rapid developmental pattern formation #newton #physics

Several mathematical models have been developed to describe pattern formation in biological tissues: the Turing, Cahn-Hilliard, Swift-Hohenberg, and chemotaxis models are among the most famous ones. Yu et al. characterize a different class of such models, one in which not chemical species but the cells themselves move and aggregate, collectively termed directed cell migration, showing under which conditions this family of models has the potential to explain rapid biological-patterning processes using theory and accessible simulations.