Can a Better Stain Improve AI in Pathology? | Podcast with Ingrid

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⏳TIMESTAMPS
00:00 - Is H&E Staining Enough in the Age of AI Pathology?
00:52 - Who is Ingrid
2:55 - How did you tackle the pathologist's high disagreement in grading?
5:32 - How much did low H&E contrast affect grading compared to your stain?
8:35 - Did you know the stain you needed, or did you experiment?
10:52 - How did you test non-inferiority and show improvement over H&E?
15:04 - Why is your Picro-Sirius-Red better than H&E for computer vision?
19:18 - How can new pathologists confirm that the morphology they're looking at is the same?
22:02 - Is this image for training the system, or for confirming the output of the diagnosis?
31:22 - What made you decide that you want to embark on this journey?
35:56 - Was combining staining kits and software an advantage or a hurdle when talking to investors?
38:01 - How did you navigate the regulatory path?
41:09 - What is your current status on the regulatory pathway?
41:51 - What kind of partner would be the best fit for your technology?
4:48 - Have you explored any cancer indications beyond prostate work?
44:20 - How does this stain reduce training data needs for segmentation?
45:49 - Will optimized stains dominate lab workflows in the next decade?
46:32 - Did pathologists resist when you introduced an alternative stain?
49:59 - What advice do you have for optimizing stains in computational pathology?
53:37 - Is there anything else you’d like to share with listeners?