Indian Institute technology Researchers at (IIT) Madras have claimed to have developed an artificial intelligence-based tool, called ‘PIVOT’, which can predict cancer-causing genes in a person. The tool is intended to help devise personalized cancer treatment strategies, the institute said. Researchers said the tool is based on a machine learning model that classifies genes as tumor suppressor genes, oncogenes or neutral genes.
Explaining the use of the newly developed tool to treat cancer, the researchers claimed that it is the uncontrolled growth of cells that can be caused by mutations in oncogenes or tumor suppressor genes or both but not all mutations necessarily cause cancer. be the result. Therefore, it is important to identify cancer-causing genes to develop appropriate personalized cancer treatment strategies.
“PIVOT is designed to predict genes that are responsible for causing cancer in an individual. Prediction is based on a model that calculates mutation, gene expression, and copy number variation in a gene and an altered gene expression. uses of information to cause disturbances in biological networks,” said IIT Madras.
Researchers from IIT Madras said that they have created AI prediction models for three different types of cancer including breast invasive carcinoma, colon adenocarcinoma and lung adenocarcinoma. The team is also working on a catalog of individual cancer-causing genes that could help identify the appropriate drug for patients based on their individual cancer profiles.
The research was led by Professor Raghunathan Rengaswamy, Dean (Global Engagement), IIT Madras, and Professor, Department of Chemical Engineering, IIT Madras, Dr Karthik Raman, Associate Professor, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras and a key member . , Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, and Malavika Sudhakar, a research scholar, IIT Madras.
Highlighting the importance of research, Dr. Karthik Raman said, “Cancer, being a complex disease, cannot be tackled in a one-treatment-fits-all fashion. As cancer treatment increasingly moves towards personalized medicine Increasingly, models that pinpoint differences between patients can be very useful.” “The research area of precision medicine is still at an early stage. PIVOT helps push these boundaries and offers possibilities for experimental research based on the identified genes,” said Malavika Sudhakar, Research Scholar, IIT Madras.
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