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  "path": "/news/2026-03-deep-individual-cells-disease-outcomes.html",
  "publishedAt": "2026-03-20T13:20:03.000Z",
  "site": "https://medicalxpress.com",
  "textContent": "A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach uses single-cell reference datasets together with patient survival data to infer the contributions of individual cells within complex tissues. The model identified cell populations associated with survival across several cancers, offering a way to uncover disease-driving cells and support the development of more targeted treatment strategies.",
  "title": "Deep learning model predicts how individual cells influence disease outcomes"
}