Chennai: The researchers in the Indian Institute of Technology-Madras have developed an Artificial Intelligence (AI)-based  Mathematical Model to identify cancer-causing alterations in cells. The research was led by Prof.B.Ravindran, Head, RBCDSAI, and Mindtree Faculty Fellow IIT.

In this study, the researchers decided to look at this problem from a different perspective. The main goal was to discover patterns in the DNA sequences.

The algorithm uses a relatively unexplored technique of leveraging DNA composition to pinpoint genetic alterations responsible for cancer progression, which is difficult using present methodologies. The results are published in the peer-reviewed International Journal Cancers.

Cancer is caused due to the uncontrolled growth of cells driven mainly by genetic alterations. In recent years, high-throughput DNA Sequencing has revolutionized the area of cancer research by enabling the measurement of these alterations. However, due to the complexity and size of these sequencing datasets, pinpointing the exact changes from the genomes of cancer patients is notoriously difficult.

Madras and Dr.Karthik Raman, Faculty Member, Robert Bosch Centre for Data Science and AI (RBCDSAI), and also Coordinator, Centre for Integrative Biology and Systems Medicine (IBSE), Mr.Shayantan Banerjee, a Master’s Student at IIT Madras, performed the experiments and analysed the data.

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