But with iOncology AI, which employs a supercomputer in Pune and a high-capacity server called Charak I at the National Cancer Institute campus in Jhajjar, doctors can determine the most common type of genetic mutation in their patients, helping them narrow in on the best treatment option. For instance, a doctor treating someone with breast cancer of a particular subtype such as HER2 can cross-reference data related to therapy that has worked for patients of the similar genetic makeup, thus helping the doctor make informed, faster and precise therapy choices.
iOncology AI aims to sequence the genomes of 3,000 cancer patients who are currently seeking treatment at AIIMS, aiming to address a fundamental question: Does a patient's genetic makeup correlate with the efficacy of diverse cancer therapies? So far, the AI model has been tested on 1,500 breast and ovarian cancer patients from AIIMS and was found to be over 75% accurate when compared to the diagnosis provided by the clinicians. Genomic data is a powerful tool for medical researchers and doctors. It helps them understand how variations in DNA affect our health.
Through genomic sequencing, they decipher our genetic makeup and spot alterations in our genes. These changes are key to understanding how diseases such as cancer develop.
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