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Today in nature, we report MouseMapper: foundation-model AI to map disease perturbations across the entire mouse body cell-by-cell. In obesity, it revealed body-wide inflammation & unexpected facial nerve damage. 🧵👇🔉 led by Doris Kaltenecker & Ying Chen

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Ali Max Erturk

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261,773 просмотров • 2 месяцев назад •via X (Twitter)

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Imagine seeing a disease's impact on every cell in the body. Now, you can! We introduce MouseMapper, an AI tool to reveal system-wide disease perturbations. MouseMapper showed obesity-induced changes in facial nerves & body-wide inflammation 👉🏼🧵
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Imagine seeing a disease's impact on every cell in the body. Now, you can! We introduce MouseMapper, an AI tool to reveal system-wide disease perturbations. MouseMapper showed obesity-induced changes in facial nerves & body-wide inflammation 👉🏼🧵

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An AI foundation whole-body 3D model that assesses perturbations (such as obesity) across multiple systems (such as immune, neural) at the cell level. This is MouseMapper. Imagine HumanMapper someday nature Ali Max Erturk
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An AI foundation whole-body 3D model that assesses perturbations (such as obesity) across multiple systems (such as immune, neural) at the cell level. This is MouseMapper. Imagine HumanMapper someday nature Ali Max Erturk

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Wim Hof says depression is caused by inflammation in your body, not by a chemical imbalance in your brain. He says every modern disease starts in the same place. Inflammation builds up in the body over time, and depression is what happens when that inflammation reaches the brain. "All these diseases are based in inflammation. Depression is also caused by inflammation, and we are able to bring it down." Hof says his breath work brings down inflammation directly through three pathways: - Activates the autonomic nervous system - Improves the glymphatic system in the brain - Releases adrenaline that reduces inflammation He says this is why people who do the breathing for six weeks often report depression lifting on its own. The mood improvement is not the cause but the result of inflammation finally clearing out of the body. — Wim Hof (Wim Hof) on the Impulsive (IMPAULSIVE) podcast
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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.
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