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IIT Madras develops AI-based Algorithm to identify Cancer-causing Alterations

IIT Madras develops AI-based Algorithm to identify Cancer-causing Alterations

IIT Madras researchers have developed an Artificial Intelligence-based Mathematical Model. The model intends to identify Cancer-causing alterations in cells. It also aims to make further studies on mutations

Indian Institute of Technology, IIIT Madras researchers have developed an Artificial Intelligence-based Mathematical Model. The model intends to identify Cancer-causing alterations in cells. A relatively unexplored technique of leveraging DNA composition has been used to pinpoint genetic alterations responsible for cancer.

The research was conducted by Dr. Karthik Raman, Faculty Member, Robert Bosch Centre for Data Science and AI, RBCDSAI, Prof. B. Ravindran who is the head of RBCDSAI, and also and Mindtree Faculty Fellow IIT Madras. Similarly, a student at IIT Madras, Mr. Shayanatn Banerjee, helped analyze the data and perform the experiments. The Coordinator Centre for Integrative Biology and System Medicine, IBSE, IIT Madras, too took part in the experiment.

The result of the experiment has already been published in a peer-reviewed journal. The journal is called International Journal Cancers. The aim of the researchers in the model has been to hope to discover the “right drug to the right person at the right time.”

IIT Madras Study: Practical Implication

  1. The study aims to have computational prioritization of cancer driver mutations as an active area of research.
  2. It aims to come up with the most accurate treatment strategy for patients.
  3. It aims to tailor treatment to a person’s specific illness and their genetic makeup. The process is challenging and it will require extensive cataloging of the “driver” variants of interest.

While talking about the study, Dr. Ravindra mentioned that the study could identify passenger mutation from cancer genes with 89 % accuracy. Prof. B. Ravindran, while speaking about the research said, “One of the major challenges faced by cancer researchers involves the differentiation between the relatively small number of ‘driver’ mutations that enable the cancer cells to grow and the large number of ‘passenger’ mutations that do not have any effect on the progression of the disease.”

Similarly, Dr. Kartik Raman, while highlighting how the algorithm will have an impact on cancer treatment in the future said, “Detecting driver mutations, particularly rare ones, is an exceptionally difficult task, and the development of such methods can ultimately accelerate early diagnoses and the development of personalized therapies.”

IIT Madras study on Artificial Intelligence-based Mathematical Model aims to do develop an easy-to-use web interface that will help cancer researchers. It also aims to make further studies on mutations. The study on Artificial Intelligence-based Mathematical Model will also be a part of the broader cancer genomic sequence analysis which is being developed by IBSE and RBCDSAI.

Original News Link

https://www.timesnownews.com/education/article/iit-madras-develops-ai-based-algorithm-to-identify-cancer-causing-alterations/784030