Artificial intelligence is being used for chatbots, self-driving cars, facial recognition — and, in research by Ph.D. candidate Quincy Gu, to help diagnose melanoma and select the target treatment.
Gu explained that traditionally, melanoma is diagnosed by pathologists looking at abnormal skin lesions under a microscope. Then histology technicians take a sample of the tumor tissue and send it to a lab for genetic testing to find the best treatment option for that specific patient. The new process could automatically identify the tumor tissue and determine genetic mutation status from the digitized biopsy slides, enabling doctors to find the right treatment for an individual patient more quickly.
Read more about Quincy's research and experience as an international student
