HomeNewsTechnologyPersistent Systems uses AI to develop method for early detection of breast cancer variant

Persistent Systems uses AI to develop method for early detection of breast cancer variant

Using artificial intelligence and machine learning, Persistent Systems has helped develop a platform that has helped to identify some new markers found in patients for triple negative breast cancer.

December 19, 2018 / 22:37 IST
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Neha Alawadhi Moneycontrol News

Persistent Systems and non-government organisation Prashanti Cancer Care Mission (PCCM) have tied up to develop a method for the early detection of a cancer variant that often impacts young women.

According to the National Breast Cancer Foundation, a diagnosis of triple negative breast cancer (TNBC)  means that the three most common types of receptors, proteins that nudge most of the breast cancer growth, are not present in TNBC tumours.

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This, says the Foundation, makes TNBC more difficult to treat as common treatments like hormone therapy and drugs, which target the cancer cells with these three receptors, are ineffective.

Persistent Systems has helped develop a platform that identifies some new markers found in TNBC patients by using artificial intelligence and machine learning. It stepped in to answer the question of how technology can help prevent and diagnose TNBC at an earlier stage.