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NYU Langone Debuts AI-Based Nuclear Morphometry Pipeline to Quantify Senescent Cells

Delivering a single senescence score in mouse tissues, the patented pipeline is poised for upcoming human tissue validation

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Overview

  • The nuclear morphometric pipeline uses AI analysis of high-resolution images and standard nuclear stains to assign a senescence score from –20 to +20
  • Validation in mouse models showed the tool accurately distinguishes healthy and senescent cells across ages ranging from three months to over two years
  • In injured muscle, the pipeline tracked dynamic shifts in senescent and non-senescent stem, endothelial, and immune cells, and revealed a tenfold rise in senescent cartilage cells in arthritic mice
  • NYU has filed a patent application for the NMP and intends to make the platform accessible to other researchers
  • The research team plans further experiments to test the pipeline on human tissue samples and to integrate it with additional biomarker assays