AI-Powered Cancer Biomarker Digital Detection Informs and Accelerates Decisions of Pathologists and Oncologists with Greg Hamilton io9 TRANSCRIPT

Empowered Patient Podcast

Greg explains, "For many of these cancers, determining the right cancer treatment is the difference between life and death. When we look at how we treat cancer today, what hasn’t changed is that there’ll be a biopsy. So, they take a piece of the tumor out and send that tumor to a pathologist. Pathologists will take that tumor and put it in a glass slide. They usually use what’s called H&E, they kind of stain it to read it better. But basically, a pathologist is looking under a microscope at the cells, and that’s how we diagnose cancer. That’s the formal way that we diagnose cancer. And so the pathologist will send a report back to the oncologist at that point saying, yes, your patient has cancer."

"Now, once the pathologist has diagnosed the cancer, they can just scan that slide or take a picture of the slide and upload it to our cloud-based software. They get an immediate result on the presence or absence of the particular biomarker."

"For instance, like ovarian cancer in the guidelines in ovarian cancer, if the patient is positive for ovarian cancer, she’s supposed to get a biomarker test for a biomarker called HRD. Now, we can do that immediately. When that pathologist gives the report back to the oncologist, now it can say your patient has ovarian cancer, she’s stage three, and she’s positive or negative for HRD. And the oncologist, on the day they tell the patient that they have cancer, can also tell them, you have this biomarker, and based on the guidelines, here’s the treatment we’re going to start you on tomorrow. In essence, we can get the patient on the appropriate frontline therapy weeks ahead of time. And at the end of the day, cancer is a race against time."

#PrecisionOncology #PrecisionMedicine #AI #Cancer #BioMarker #Pathologists #Oncologists #Tumors

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