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December 10, 2020 09:30 pm
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/r5MLLS-yhE8/salesforce-claims-its-ai-can-spot-signs-of-breast-cancer-with-92-accuracy
Salesforce Claims Its AI Can Spot Signs of Breast Cancer With 92% Accuracy
Salesforce today peeled back the curtains on ReceptorNet, a machine learning system researchers at the company developed in partnership with clinicians at the University of Southern California's Lawrence J. Ellison Institute for Transformative Medicine of USC. From a report: The system, which can determine a critical biomarker for oncologists when deciding on the appropriate treatment for breast cancer patients, achieved 92% accuracy in a study published in the journal Nature Communications. Breast cancer affects more than 2 million women each year, with around one in eight women in the U.S. developing the disease over the course of their lifetime. In 2018 in the U.S. alone, there were also 2,550 new cases of breast cancer in men. And rates of breast cancer are increasing in nearly every region around the world. In an effort to address this, Salesforce researchers developed an algorithm -- the aforementioned ReceptorNet -- that can predict hormone-receptor status from inexpensive and ubiquitous images of tissue. Typically, breast cancer cells extracted during a biopsy or surgery are tested to see if they contain proteins that act as estrogen or progesterone receptors. (When the hormones estrogen and progesterone attach to these receptors, they fuel the cancer growth.) But these types of biopsy images are less widely available and require a pathologist to review. In contrast to the immunohistochemistry process favored by clinicians, which requires a microscope and tends to be expensive and not readily available in parts of the world, ReceptorNet determines hormone receptor status via hematoxylin and eosin (H&E) staining, which takes into account the shape, size, and structure of cells. Salesforce researchers trained the system on several thousand H&E image slides from cancer patients in "dozens" of hospitals around the world.Read more of this story at Slashdot.
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/r5MLLS-yhE8/salesforce-claims-its-ai-can-spot-signs-of-breast-cancer-with-92-accuracy
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