A full-stack institute for AI and biology research.

Joined November 2021
285 Photos and videos
Arc’s Virtual Cell Initiative focuses on the full-stack development of an accurate AI model to advance complex disease research. At TED2026, Executive Director @SKonermann joined @TEDchris to talk about what we’re building. ted.com/talks/silvana_konerm…
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The brain works hard to clear waste, and impairments are central to neurodegeneration. In @CellCellPress, Innovation Investigator @andcyang, w/ @NaliniRRao, Yuichi Chayama, and team map it from the inside out, following the brain's own proteins to see where waste actually goes.
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Disease disrupted clearance in two ways: LPS-driven inflammation broke down the blood-brain barrier, shunting Syn-ZsG away from borders and into the blood. In 5XFAD mice, amyloid pathology had the opposite effect, trapping proteins in the brain, with less reaching the brain borders as amyloid levels rose.
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While 'waste' is shorthand, thousands of proteins the brain sheds aren't inert junk; many likely signal to the immune system. Systematic study of brain clearance opens paths to rejuvenate it as an upstream target for neurodegeneration. Access the paper: cell.com/cell/fulltext/S0092…
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Most spatial CRISPR screens require trade-offs in throughput or readout depth. A new preprint from @alexnevue, @Inna_Averbukh, @Davidlarastiaso & team introduces PerturbSpace: spatially resolved, multimodal, whole-transcriptome on standard single-cell workflows.
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PerturbSpace turns non-cell-autonomous effects from a niche capability into a systematic readout, producing the tissue-scale perturbation data needed to inform virtual cell models. Explore the full paper here: biorxiv.org/content/10.64898…

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Introducing the inaugural cohort of the Arc AIxBio Fellows. These five student teams will each tackle an ambitious ML project over the next 6-12 months with a dedicated mentor.
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