
Scientists from S. N. Bose National Centre for Basic Sciences and Ashoka University have developed an AI framework called ACSCeND that identifies three distinct developmental states of cancer stem-like cells. The system…
Scientists from S. N. Bose National Centre for Basic Sciences and Ashoka University have developed an AI framework called ACSCeND that identifies three distinct developmental states of cancer stem-like cells. The system uses deep learning to analyse tumour gene-expression data, revealing hidden cell populations from thousands of patient samples.
Tests on over 25,000 tumour samples from international databases showed tumours with highly potent stem-like cells were linked to poorer survival and lower immunotherapy response. The tool outperformed existing computational methods and could help design precision cancer therapies, especially in areas with limited health facilities.
The hype around AI in medicine often overlooks the gap between lab success and clinical use. This tool has been tested on databases but not yet on real Indian patients or in rural clinics where it claims to help. The real test will be when ACSCeND faces the chaos of underfunded pathology labs and sparse genomic data. How many Indian hospitals can even run RNA sequencing reliably today?
Source: greaterkashmir.com
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