
Sign up to save your podcasts
Or
Send us a text
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
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
5
77 ratings
Send us a text
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
Support the show
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
6,115 Listeners
324 Listeners
493 Listeners
43,442 Listeners
111,785 Listeners
56,191 Listeners
122 Listeners
318 Listeners
147 Listeners
4 Listeners
28,304 Listeners
15,237 Listeners
611 Listeners
2,202 Listeners
485 Listeners