Sat. Nov 27th, 2021
 
AI tool developed by IIT-M to study cancer-causing mutations

AI tool developed by IIT-M to study cancer-causing mutations

With the current progress in science and technology, artificial intelligence is being inculcated everywhere. From personal digital assistants to driverless cars, our lives have become amazingly convenient. And now with the new research at IIT Madras, the study of cancer just progressed several steps ahead.

 

Researchers at the Indian Institute of Technology, Madras have developed an AI tool that would detect and help in analysing cancer-causing mutations in cells. The AI tool is named NBDriver (neighbourhood driver). Its AI algorithm would not only spot cancer-causing changes in cells but would also study the structures to characterize the genetic changes responsible for cancer progression, which are liable for inducing cancer. The researchers have already tested the performance of this prediction algorithm on a number of open-source cancer mutation datasets.

 

AI tool developed by IIT-M to study cancer-causing mutations

AI tool developed by IIT-M to study cancer-causing mutations
AI tool developed by IIT-M to study cancer-causing mutations

 

Through a study conducted by three researchers from the Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, they found the neighbouring gene sequence of the driver mutation is very much distinct from the passenger mutations. This finding further generated the idea of designing NBDriver to identify the pathogenic variants of cancer-causing mutations.

 

How would NBDriver work?

Cancer is caused by mutation or the unnatural growth of cells in our body. The mutation is a common manifestation and not all mutations cause cancer. These benign mutations are called passengers. But the mutations that cause cancer are called the driver mutations. The NBDriver, a mathematical model based on AI algorithm, would very simply differentiate between driver and passenger mutations with the use of features derived from the neighbourhood sequences of somatic mutations, almost like looking for spelling errors in sentences.

 

This research and NBDriver would be a pioneering step towards the positive growth of cancer research. The biggest problem faced by cancer researchers is differentiating between the passenger and driver mutations. NBDriver therefore would help eradicate this problem. Medical professionals can use this technology to run genome sequencing and trace the cancer-causing mutation. And this will help in designing specific strategies of treatment for the patients.

 

Subhangee Guha

Break the Newz.

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