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For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cance
Researchers at Dana-Farber Cancer Institute have created an AI-based tool that uses tumor gene sequencing data to predict the primary source of a patient's cancer.
The OncoNPC machine-learning model may help identify sites of origin for cancers whose origins are unknown, which could enable targeted tumor treatments.
Anton PetrusWhile there’s been a lot of scary news around AI—from robots replacing our jobs to potentially killing us all in Terminator-esque apocalypse scenarios—there are also more hopeful signs that powerful machine learning algorithms and humans can coexist. One good example comes from medicine, where AI is already being used to help diagnose and identify diseases to help doctors streamline treatment for patients.Now, it may even be used to zero in on the origins of one of the deadliest dise
Researchers have created an AI-based tool that uses tumor gene sequencing data to predict the primary source of a patient’s cancer.