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Introducing Interactive Cell Biology, a complete course solution—no textbook needed. In partnership with Macmillan Learning, delivered through Achieve. Check it out today! Visit: to learn more. #cell #biology #education #animation

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Dive into the world of Mathematical Quantum Theory! 🌊📚 Explore our curated list of must-read books! Click the banner below to discover more & use code "MATH25" for 25% OFF! #QuantumMath #MathBooks #BookLovers

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How does an embryo reliably "compute" its form - "cell by cell" - using only local interactions and mechanics, yet produce a precise global body plan? I’m excited to share our Nature Methods paper "MultiCell: geometric learning in multicellular development", presenting #AIxBiology research led by Haiqian Yang and the result of a great collaboration with Ming Guo, George Roy, Tomer Stern, Anh Nguyen and Dapeng Bi. A long-standing challenge in developmental biology is to predict how thousands of cells collectively self-organize as tissues fold, divide, and rearrange. In MultiCell, we represent a developing embryo as a dual graph that unifies two complementary views of tissue mechanics with single-cell resolution: cells as moving points (granular) and cells as a connected foam (junction network). This lets the model learn dynamics from both geometry and cell–cell connectivity. On whole-embryo 4D light-sheet movies of Drosophila gastrulation (~5,000 cells), our model predicts key cell behaviors and the timing of events, including junction loss, rearrangements, and divisions with high accuracy, at single-cell resolution. Beyond prediction, the same representation supports robust time alignment across embryos and offers interpretable activation maps that highlight the morphogenetic "drivers" of development. The broader goal is a foundation for cell-by-cell forecasting in more complex tissues, and eventually for detecting subtle dynamical signatures of disease. Kudos to the team for this inspiring collaboration with brilliant researchers to push the boundary of AI for biology! Citation: Yang, H., Roy, G., Nguyen, A.Q., Buehler, M.J., et al. MultiCell: geometric learning in multicellular development. Nature Methods (2025), DOI: 10.1038/s41592-025-02983-x Code/data links are in the manuscript.

Markus J. Buehler

388,303 Aufrufe • vor 8 Monaten

This is crazy! This is some of the complex systems working inside your cells. God's Design inside every single cell in your body. Cells cannot arise through evolution. The minimum viable cell requires: - Around ~500,000 lines of coded information (DNA) - Close to ~500 unique protein products (the building blocks of all those cellular machines and systems) - Total of ~20k-50k total proteins all working perfectly together - Around ~30-40 regulatory systems guiding all those interactions The cell requires all those parts & systems, or it doesn't function. If we do the math, there are about ~10^70,000 possible interactions in this cell. Interactions are things like: - energy production - waste removal - protein creation - system repair The odds are incomprehensible. Evolutionists will argue the odds are misleading, because it evolves gradually via step-by-step trial & error. But the cell REQUIRES a minimum set of parts & systems to function - without all of these in place, together, from the beginning, it dies. Therefore, the cell cannot evolve through step-by-step evolutionary processes, because there is no reproduction + mutation to drive evolutionary change until the cell is complete. Cells are a massive problem for Evolutionism, because they are such obvious signs of Intelligent Design. Even the famous atheist Richard Dawkins admitted that, "Biology is the study of complicated things that have the appearance of having been designed with a purpose." Biology seems designed because it IS designed. God's Divine Design becomes more obvious, the closer we look.

Divinely Designed

32,319 Aufrufe • vor 6 Monaten