Indian scientists have developed a new artificial intelligence (AI) tool that can identify hidden cancer stem-like cells, potentially improving the detection and study of cancerous cells that may be difficult to spot using conventional methods.
The AI tool, called ACCSeND, has been developed by scientists from Ashoka University and the SN Bose National Centre for Basic Sciences. The technology uses deep learning to identify cancer stem-like cells that can remain hidden within tumour environments.
Cancer stem-like cells are of particular interest to researchers because of their potential role in tumour development, progression and treatment resistance. Identifying these cells more accurately could support research into cancer biology and help scientists better understand how tumours respond to treatment.
According to the research highlighted by ThePrint, ACCSeND demonstrated stronger performance than several existing methods for identifying these difficult-to-detect cells. The use of artificial intelligence allows the system to analyse complex biological patterns and distinguish specific cellular characteristics that may not be easily recognised through conventional approaches.
The development represents a growing application of AI in biomedical research, where advanced computational methods are increasingly being used to analyse large and complex biological datasets. Such tools can assist researchers in identifying patterns, classifying cells and generating insights that may contribute to the development of more precise diagnostic and therapeutic approaches.
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The work by scientists at Ashoka University and the SN Bose National Centre for Basic Sciences highlights India’s growing capabilities in combining artificial intelligence with life sciences research. As AI continues to advance, technologies such as ACCSeND could play an important role in strengthening cancer research and improving the understanding of complex cellular behaviour.
The development also reflects the wider potential of AI-driven technologies to support precision medicine by enabling researchers to study cancer at a more detailed cellular level.
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