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Tumors are made up of many types of cells, both cancerous and benign. The specific complexity of the cells inside brain tumors has been a trademark of the disease, one that makes treatment extremely difficult. While scientists have long known about the variety of cells within a brain tumor, the ways these tumors grow has relied on the understanding that the cells are static, unmoving and relatively fixed. ....
In mice, researchers have discovered the presence of oncostreams, highly active cells connected to how brain tumors grow and invade healthy tissue. ....
Credit: Michigan Medicine/Synthetaic Michigan Medicine was working toward a goal: to develop a decision support tool that would improve pathologists ability to accurately diagnose brain tumors in the operating room, allowing them to both diagnose more quickly and more accurately. THE PROBLEM However, this is no small feat. Historically, tumor diagnosis is a challenging task because the images of the brain that pathologists are reading while in surgery are complex, and the time available to read them is limited. We wanted to develop a computer vision model that could identify regions that are likely to be diagnostic and provide a tentative diagnosis for the pathologist to consider when making their final interpretation, said Dr. Todd Hollon, neurosurgeon and principal investigator of the machine learning in neurosurgery laboratory at Michigan Medicine. ....