Digital Pathology Place

Digital Pathology Place Sharing the digital world of pathology journey with you. 🌐 https://bit.ly/DigitalPathology101Ebook
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06/02/2026

GLP isn't anti-AI's pro-accountability.

Document your assumptions, monitor performance, and define limitations.

Even good models need governance.



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Pohlmeyer-Esch G, Halsey C, Boisclair J, et al. Digital Pathology and Artificial Intelligence Applied to Nonclinical Toxicology Pathology: The Current State, Challenges, and Future Directions. Toxicologic Pathology. 2025;53(3):255-271. doi:10.1177/01926233251340622

06/01/2026

Still not sure where to look first when you’re trying to identify striated muscle on a slide?

A simple place to start is the striation itself.

In this clip, I slow it down and look for the little rib-like lines first,

because once they come into focus, the pattern starts making much more sense.

That is one of the things I like about histology.

Sometimes the slide gets easier the moment you stop searching for everything

at once and just find the one feature that anchors you.

For me, this is also why digital pathology works so well for teaching.

You can zoom, focus, and actually stay with the structure long enough to see it clearly.

Watch the short, and if you want the full lesson, catch the full episode here: https://youtu.be/2QZ1HSgREIo?si=mDpFlCZtKuZVBpm8

05/29/2026

Can AI copilots keep up with pathologists?

That is the question for DigiPath Digest #48.

This week, I’ll be covering DALPHIN, a new benchmark for digital pathology AI copilots. What I like about this paper is that it moves the conversation away from hype and toward evaluation.

Not “Look what AI can do.”

But:
�How do we test it?
�What cases are included?
�Which subspecialties are represented?
�How does it compare with pathologists?
�Where can it fail?
�And how should pathologists think about these tools before they appear in real workflows?

For me, the most important takeaway is this:

AI copilots may become useful in pathology, but pathologists need to lead the conversation about benchmarks, validation, and responsible use.

Trailblazers, join me for DigiPath Digest #48 as we unpack what this benchmark means for digital pathology and medical AI.

Can AI copilots really keep up with pathologists in real workflow settings?That is exactly why I want to talk about DALP...
05/28/2026

Can AI copilots really keep up with pathologists in real workflow settings?

That is exactly why I want to talk about DALPHIN in DigiPath Digest #48.

What I like about this paper is that it pulls the conversation away from hype

and back to evaluation.

Not just what an AI copilot can do on a polished demo,

but how we test it, what cases are included,

which subspecialties are represented, where it fails,

and how it compares with pathologists.

For me, that is the more useful conversation.

If these tools are going to enter pathology workflows,

pathologists need to lead the discussion about benchmarks, validation,

and responsible use.

Join me for DigiPath Digest #48 on May 29, 2026, at 6:00 AM EST, streaming on YouTube, LinkedIn, and Facebook.

Link in the first comment.

Starting soon: the Trop2 Normalized Membrane Ratio webinar with Roche.If you’ve been planning to join but haven’t regis...
05/28/2026

Starting soon: the Trop2 Normalized Membrane Ratio webinar with Roche.

If you’ve been planning to join but haven’t registered yet, this is your reminder.

We’ll be walking through:
🔹Why traditional visual IHC scoring can be challenging in certain scenarios.
🔹How the Trop2 Normalized Membrane Ratio computational CDx workflow is structured to address consistency.
🔹What this looks like in a real‑world workflow, with time for live Q&A.

We start at:
3:00 PM EDT
2:00 PM CDT
12:00 PM PDT

Grab your spot now and join us live 👉https://attendee.gotowebinar.com/register/6310671631952918617?source=Facebook

05/28/2026

Want digital pathology to work in a real lab, not just on paper? 🔬

Then pre-analytics needs more attention than it usually gets. 🧪

I know this part is not the flashy part of transformation.

But slide quality, tissue handling, staining consistency, coverslipping,
and all the steps before scanning are exactly what determine
whether the digital workflow will hold up later. 🧠

When labs struggle with digital pathology,
the problem is often blamed on the scanner or software.

In my experience, the real issue often starts earlier. ⚙️

That is why explaining pre-analytics matters so much.

It is not glamorous, but it is how labs build workflows
that are actually stable, scalable, and ready for validation. ✅

If you want digital pathology to transform your lab, start paying
attention to what happens before the image ever appears on the screen. 💻

Do you think labs spend enough time on pre-analytics?

05/26/2026

Register before Thursday's live panel: https://attendee.gotowebinar.com/register/6310671631952918617?source=Facebook

Manual biomarker scoring is reaching its limits.

Modern targeted therapies increasingly respond to gradients of

expression that the human eye cannot reliably resolve at scale.

Join us on Thursday, May 28, 2026, at 12:00 PM PDT for the live session:

"Computational Pathology as the Next Generation of Companion Diagnostics".

This 60-minute panel and 30-minute Q&A will cover:
-The Methodological Shift: Transitioning from semi-quantitative manual scoring to computational pathology solutions.
-Clinical Utility: Evaluating the complex, non-visual biomarker outputs required to access modern therapies.
-Application & Regulation: Navigating the current regulatory landscape and examining a real-world clinical case study.

Panelists: Three Roche experts: Gordana Juric-Sekhar, MD - Pathologists, PhD; Saleh Miri - Algorithms, PhD, Purvi Gaglani - Regulatory
Moderator: Aleksandra Zuraw, DVM, PhD, DACVP.

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