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 based on a machine learning model that divides genes into cancer-causing oncogenes, cancer-preventive tumour suppressors, and neutral genes. If you are preparing for competitive exams and looking for expert guidance, you can download our General Knowledge Free Ebook Download Now.
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Major Points:
- The model will analyze data such as the frequency with which a gene mutates, its properties, the kinds of mutations, and the number of detrimental mutations in order to find the gene that causes cancer in a person or, more specifically, to identify rare genes that cause cancer.
- It is well knowledge that current cancer treatments will have a negative impact on the patient's general health.
- According to the research team, selecting the drug and therapy regimen that will have the greatest positive influence on a patient's prognosis can be made easier by identifying the genes responsible for the growth and spread of cancer in patients.
- In order to assess how frequently the gene has mutated, samples from various patients are traditionally analyzed in order to track down a cancer-causing gene.
- If the IIT-M scientists had benefited greatly from publicly accessible cancer genome data from websites like ICGS, then additional Indian cancer genome data—which is still absent on a local platform—is required for the tool to be used effectively.
The majority of the genetic data used to feed the model comes from The Cancer Genome Atlas Program and The International Cancer Genome Consortium (ICGC) (TCGA).
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