Sloan-Kettering Spin-Out Harnesses AI to Diagnose Cancer

The Bio Report
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The right treatment every time. And how are these tests generally perform today. How does pages technology change that. So in a clinical pathology setting What happens today is a pathologist or piece of tissue is taken out of a patient from a biopsy or surgery that tissue gets cut stained mounted on a glass slide. And then the pathologist is handed a set of slides to look at that patient at thaad will look at that slide and they may see something that they're not sure what it is. It may be a little unusual. They may ask a colleague. They may send it out for consultation. They may do an additional stain or send it off for some molecular testing ultimately. They're going to get all of that information back and they're going to have to make a call for that patient. What the right. Diagnosis is in a page world. That slide is not looked at under a microscope. Scanned and the pathologist is looking at a computer monitor and pages gone through those slides and matched each slide. The tissue content in that slide those patterns with a database of known tissue and diagnostics. And that information is made available to the pathologist during the course of their their clinical treatment so that they have this additional information available to them automatically forever case having to go through and take those other steps of consultation and sending cases out in additional testing in staining. They'll have that information at their fingertips so that they can get to that right. Decision faster and more standardized more confidently are slice prepared for a page test as they would be for a traditional test today yes exactly the same way in fact there's no additional Staining no additional preparation that's needed. The only piece of additional equipment is the side scattered south and is the digital. Ai system visually reading an image and is doing so in a way that's unique to the machinery somehow mimicking. What a pathologist is looking for. I think the best way to think about how. Ai works is. It's looking for patterns in data in this case patterns and tissue and so that machine is identifying these patterns matching those against database of of known patterns That have been either diagnosed by other sts or that have been results of additional testing like molecular tests or something like that to really match those patterns and then highlight that information to the pathologist during the course of their their diagnostic process as we think about going forward in that biomarker direction that i mentioned and that case These are patterns at just may not know about may not be aware about may not really be visible to the naked eye and yet the computer is able to sift through thousands ten two thousand hundred thousand millions of images and identify patterns that are signatures for treatment responses or other even known molecular markers. And how do you envision a pathologist using the system. Will they rely on. It does the pathologist use it to confirm findings or is it more of a tool to allow for greater automation. And if so. What's the output at the pathologist or the physician will see way

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