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If you are working with immunohistochemistry (IHC) you know how challenging it can sometimes be to optimize all the steps in the process to obtain a high-quality stain. It often takes testing different antibodies, antibody concentrations, antigen retrieval methods, and incubation times.

What if there was a way to produce an IHC stain virtually, without antibodies or even the need to step into the lab?

Today's episode's guest is Victor Dillard, the commercial operation director of Owkin.
Owkin is a company leveraging artificial intelligence and machine learning for medical image analysis and its offering includes virtual immunohistochemistry staining. We talk about how it was developed, how it works, and how it can be deployed at interested institutions.

To learn more about Owkin visit https://owkin.com/

This episodes resources:
Deep learning-based classification of mesothelioma improves prediction of patient outcome

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16: Virtual Immunohistochemistry. How Owkin uses artificial intelligence to generate IHC stains without antibodies w/ Victor Dillard 34:13 Share

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16: Virtual Immunohistochemistry. How Owkin uses artificial intelligence to generate IHC stains without antibodies w/ Victor Dillard