TNPSC Thervupettagam

New AI Cancer Framework

August 15 , 2026 10 hrs 0 min 12 0
  • Researchers from S. N. Bose National Centre for Basic Sciences (SNBNCBS) and Ashoka University have developed an Artificial Intelligence (AI) framework to identify hidden cancer stem-like cells.
  • The new framework, ACSCeND (AI-based Cancer Stem-like Cell Profiler and Neoplasm Deconvoluter), identifies three developmental states: pluripotent-like, multipotent-like and unipotent-like.
  • It can analyse conventional bulk tumour RNA (Ribonucleic Acid) sequencing data, allowing hidden cell populations to be studied across thousands of patient samples.
  • Researchers applied ACSCeND to more than 25,000 tumour samples from databases including TCGA (The Cancer Genome Atlas) and PRECOG.
  • Tumours with highly potent, pluripotent-like cancer stem cells were associated with poorer survival, higher tumour recurrence and reduced response to immunotherapy.
  • The framework could help identify patients at higher risk of relapse and support the development of precision cancer therapies.

 

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