Article Synopsis

  • scRiskCell is an advanced computational framework that uses nearly 500,000 islet cell expression profiles from 106 donors with various disease states.
  • It calculates how donor disease states relate to cell expression, assigning each cell a pseudo-cell state index to spot cells affected by the disease.
  • The system also tracks changes in risk cells over the course of disease progression, offering valuable insights for early disease detection and ongoing clinical monitoring.

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Article Abstract

scRiskCell is an interpretable intelligent computational framework that leverages nearly 500,000 islet cell expression profiles from 106 donors across different continuous disease states. By calculating the intrinsic relationship between donor disease states and cell expression profiles, it assigns a pseudo-cell state index to each cell. Sorting the pseudo-indexes of cells enables the identification of risk cells truly disrupted by the disease. Importantly, scRiskCell reveals the dynamic aggregation pattern of risk cells during disease progression, providing mechanistic insights for early disease prediction and clinical dynamic monitoring of disease progression.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12371254PMC
http://dx.doi.org/10.1002/imt2.70060DOI Listing

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