Revolutionizing Cancer Treatment: Decode Tumor Mysteries with AI 'OncoMark'

Researchers developed AI framework 'OncoMark' to predict cancer cell behavior by analyzing internal processes they use to evade the immune system. The tool helps understand tumor biology and supports personalized treatment. Tested on genetic data, this AI model produced accuracy scores of at least 96%.

A team of researchers has unveiled 'OncoMark,' an AI-driven framework poised to transform cancer treatment by analyzing how cancer cells escape immune system attacks, effectively "reading the mind of cancer" to predict its future actions.

The innovative model, documented in the journal Communications Biology, could redefine tumor biology comprehension and aid in tailoring personalized cancer therapies. Developed by scientists at Ashoka University and S N Bose National Centre for Basic Sciences, OncoMark fills the diagnostic gap where traditional methods fail to assess the critical 'hallmarks of cancer.'

With an extraordinary 96% accuracy rate, the AI framework, trained on data from over 3.1 million cancer cells, highlights hallmark processes like immune evasion and metastasis. The study's authors aim to integrate this into clinical workflows and expand to blood and other rare cancers.

(With inputs from agencies.)