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AI can now detect whether chemotherapy before surgery will benefit breast cancer patients. Every 14 seconds, somewhere in the world, a woman is diagnosed with breast cancer. 1 in 39 women die because of it. One of the biggest reasons for this is that determining the right treatment for these patients is highly challenging. In many cases, doctors suggest pre-operative chemotherapy to shrink cancer to make surgery possible or avoid major surgeries like mastectomies. However, it's not always effective, as the success rate often depends on tumor cell features like genes and proteins. Yet, many patients still undergo it, because they are hopeful. The challenge is that this treatment comes with its fair share of side effects, both short-term and long-term. In the short term, women have to go through: - Fatigue - Diarrhea - Hair loss - Mouth sores - Weight changes - Nausea and vomiting The long-term side effects are more disastrous like heart damage, bone thinning and infertility. This is why engineers at the University of Waterloo, part of the open-source Cancer-Net initiative led by Dr. Alexander Wong, have designed a new AI model. They have developed a specialized MRI technique called synthetic correlated diffusion imaging (CDI). They’ve trained the AI model with CDI images of past cancer patients and their outcomes. So when the CDI images of new patients are provided to the AI software, it can predict if the pre-operative chemotherapy would benefit them or not. This is exciting news as it will help doctors provide more personalised treatment to patients and lower mortality rates. What do you think of this breakthrough? #ai #cancer #healthcare
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3moAI technology can be used to create many such products that solves multiple human problems. Within few years we will see many such products that are powered by ai technology