Researchers at IIT Madras have created a ground-breaking technique that may pinpoint a person’s cancer-causing genes. The “Pivot,” an AI-based tool, will assist clinicians in developing individualized treatment plans for patients based on patient DNA profiles. The tool is built on a machine learning model that classifies genes into cancer-preventing tumour suppressors, oncogenes that cause cancer, and neutral genes.<\/p>\n\n\n\n
Key Points:<\/strong><\/p>\n\n\n\n In order to identify the gene that causes cancer in an individual, or more specifically to identify unusual genes that cause cancer, the model will analyse data such as the frequency with which a gene mutates, its properties, the sorts of mutations, and the quantity of harmful mutations. It is well knowledge that current cancer treatments will have a negative impact on the patient’s general health.<\/p>\n\n\n\n According to the research team, understanding the genes responsible for the development and spread of cancer in patients can aid in choosing the drug and therapy regimen that will have the greatest positive impact on their prognosis. The traditional method of tracing a cancer-causing gene involves analyzing samples from several patients to determine how frequently the gene has mutated. If openly available cancer genome data from sites like ICGS had been of great assistance to the IIT-M scientists, then more Indian cancer genome data\u2014which is still lacking on an exclusive local platform\u2014is needed for the tool to be used effectively.<\/p>\n\n\n\n The International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas Program provide the majority of the genetic information used to feed the model (TCGA). <\/p>\n","protected":false},"excerpt":{"rendered":" Researchers at IIT Madras have created a ground-breaking technique that may pinpoint a person’s cancer-causing genes. The “Pivot,” an AI-based tool, will assist clinicians in developing individualized treatment plans for patients based on patient DNA profiles. The tool is built on a machine learning model that classifies genes into cancer-preventing tumour suppressors, oncogenes that cause cancer, and neutral genes. 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