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Looking at rapid advancement in some of the technologies, researchers believe artificial intelligence to be the future of cancer detection and treatment.
FREMONT, CA: Cancer has haunted the lives of millions in the past, while millions are suffering from it at present too. However, the rapid advancement in some of the technologies like artificial intelligence (AI) concerning medical research for the identification of ER-positive breast cancer has fueled the hopes that AI might be the future of cancer detection, identification, and treatment.
So what makes AI, the frontrunner in the race to address the challenges posed by one of the most severe condition?
Diverse Capabilities of AI
The future of AI in healthcare and the treatment of cancer specifically will impact a wide range of underlying elements and processes. From detecting a specific form of cancer to deciding on the type of treatment approach according to the condition and several factors associated with the current state, AI promises to enhance the overall experience of the patients during the treatment and a higher quality of life in the future.
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One such technology uses a Google AI tool to detect genetic mutations in a tumor based on the imageries of lung cancer tissue during a biopsy. It was based on a study led by Aristotelis Tsirigos, associate professor of pathology and director of the Applied Bioinformatics Laboratories, who further explained that the technology functions like the human brain. The approach, referred to as neuronal networks or deep learning, has expanded extensively over the past decade or so. However, the value imparted by the extensive amounts of data that has significantly contributed to these advancements, cannot be underestimated either.
Enhancing the Quality of Life
AI can also have a crucial role in helping patients dealing with side effects of treatment for cancer. A cancer research center on the West Coast has collaborated with Microsoft to develop an AI-powered device that will allow the cancer patients undergoing chemotherapy to stay away from the emergency room by detecting signs of complications before they develop as a full-blown problem.
Another possible use case can be the development of a wearable tracking device or smartphone apps to keep track of the side effects arising out of chemotherapy.
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