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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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Smart Biology

69,878 subscribers

44,045 просмотров • 1 год назад •via X (Twitter)

ОбразованиеИскусство#cell#biology#education#animation
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Комментарии: 6

Фото профиля five
five1 год назад

@MacmillanLearn amazing

Фото профиля World Scientific
World Scientific1 год назад

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

Фото профиля Robot Machines
Robot Machines1 год назад

@MacmillanLearn Wow

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Pp221 год назад

@MacmillanLearn @Bio_comunidad @biologiauanl

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Solvem Probler1 год назад

@MacmillanLearn Yesss so cool Teach me more

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Don't Memorize, Understand. Concepts are explained in a way that allows students to truly understand how life works. Try today at #biology #science #education #animation #learning #STEM #STEMeducation #see #interact #understand
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Don't Memorize, Understand. Concepts are explained in a way that allows students to truly understand how life works. Try today at #biology #science #education #animation #learning #STEM #STEMeducation #see #interact #understand

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1/n: 🔬We introduce NicheCompass (NC) a graph learning model to build spatial atlases across millions of cells, quantitatively characterize cell niches, infer cellular communication, and map new data into these atlases. NC can be used with various spatial technologies, ranging from cellular to subcellular resolution including even multimodal approaches. We have explored interesting biology by analyzing cell niches spanning from development to cancer. Led by Sebastian Birk in a fun colab with @cartalop: paper:
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1/n: 🔬We introduce NicheCompass (NC) a graph learning model to build spatial atlases across millions of cells, quantitatively characterize cell niches, infer cellular communication, and map new data into these atlases. NC can be used with various spatial technologies, ranging from cellular to subcellular resolution including even multimodal approaches. We have explored interesting biology by analyzing cell niches spanning from development to cancer. Led by Sebastian Birk in a fun colab with @cartalop: paper:

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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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🔥Watch this🔥 This is my live commentary on Dr. Macks testimony. Very grateful we have a Senator with a Chemistry and Biology background who knew to ask this important question regarding cell division. This is usually where the squid ink is deployed and there is no further discussion but he wouldn't let it go.

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From 3D imaging to therapy Using our DISCO tissue clearing and whole organ 3D imaging platform, we revealed skull to meninges microchannels connecting calvarial bone marrow with the brain borders in mice (Cai...Ertürk, Nature Neuroscience,2018, We then extended this biology to humans, discovering distinct skull bone marrow programs and structural skull meninges connections in health and neurological disease (Kolabas...Ertürk, Cell, 2023). Now, a new study reports a first therapeutic application of this route: intracalvariosseous (calvarial) injection of drug loaded albumin nanoparticles to “hijack” calvarial immune cells, which then migrate via skull meninges microchannels to CNS lesions, bypassing the blood brain barrier and improving outcomes in stroke models, with encouraging clinical feasibility data (Gao et al., Cell, 2026) We are proud that DISCO enabled biology that is now turning into concrete therapeutic strategies for devastating neurological diseases. More to come. #DISCO #TissueClearing #Neuroimmunology #Stroke #Nanomedicine #DrugDelivery #BBB #CNS Refs (for linking in comments): Cai et al. Nat Neuroscience, Kolabas et al. Cell 2023, the video from Gao et al. Cell 2026 (online Jan 16, 2026).

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The Sentry Agent for Linear is in beta today! Delegate Sentry issues in Linear to Sentry, and the agent will have Seer build a Root Cause Analysis and Solution. Head into Integrations > Sentry Agent for Linear and check it out. Learn more 👇

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Denis Noble: "I think it's been unfortunate that philosophy and science have diverged." Why reductionist analysis in biology is a philosophical mistake: Michael Levin to Denis Noble: What have you learned from eastern philosophy that has informed your interest in biology? Denis Noble: There is no philosophical basis for saying that the only way to look at living organisms is through reductionist analysis. It is also a philosophical point that you cannot have living organisms without levels of interactions. (paraphrased snippets) More in the clip. Link to full podcast below on What Biology Needs to Advance Longevity.
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Denis Noble: "I think it's been unfortunate that philosophy and science have diverged." Why reductionist analysis in biology is a philosophical mistake: Michael Levin to Denis Noble: What have you learned from eastern philosophy that has informed your interest in biology? Denis Noble: There is no philosophical basis for saying that the only way to look at living organisms is through reductionist analysis. It is also a philosophical point that you cannot have living organisms without levels of interactions. (paraphrased snippets) More in the clip. Link to full podcast below on What Biology Needs to Advance Longevity.

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