science
Hosted by Aleksandra Zuraw, DVM, PhD · science · EN-US
Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She reviews scientific literature and together with her guests discusses the current industry and research digital pathology trends.
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Signup to Generate a PitchAleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She reviews scientific literature and together with her guests discusses the current industry and research digital pathology trends.
Digital Pathology Podcast is hosted by Aleksandra Zuraw, DVM, PhD. The show has published 252 episodes to date.
Recent episodes include "254: Digital Pathology Q&A: How to Get Started | PathVisions 2026" (30 October 2026, 42 minutes), "253: What Happens After Your Whole Slide Scanner Arrives? | PathVisions 2026" (27 October 2026, 13 minutes), and "252: Digital Pathology Trends 2026: Agilent Buys Proscia | PathVisions" (18 October 2026, 14 minutes).
Digital Pathology Podcast publishes roughly weekly, with episodes averaging 39 minutes across 252 episodes.
Booking probability for Digital Pathology Podcast is 45%, and the host is rated Selective on guests. Digital Pathology Podcast requires a Pod Score of 80 or higher. Digital Pathology Podcast's contact route on record: verified email.
The strongest fits for Digital Pathology Podcast are Medical Labs & Imaging. Digital Pathology Podcast has a science audience.
Aleksandra Zuraw, DVM, PhD hosts Digital Pathology Podcast, a science podcast with 252 episodes published.
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Episode #254
Send us Fan Mail Is a digital slide as good as glass? Live from the Hamamatsu booth at PathVisions 2026, Dr. Aleks Zuraw and Amy Welch, Product Marketing Manager for NanoZoomer at Hamamatsu, open the question box and...
Episode #253
Send us Fan Mail What happens after your whole slide scanner arrives in the lab? Live from the Hamamatsu booth at PathVisions 2026, Dr. Aleks Zuraw meets the people who help labs go digital, plus a surprise guest from...
Episode #252
Send us Fan Mail What are the biggest digital pathology trends of 2026, and what does Agilent buying Proscia tell us? It's the clearest sign yet that the field is moving from shiny algorithms to full, connected...
Episode #251
Send us Fan Mail What if changing the scanner or choosing another slide from the same tumor changes your pathology AI results? In DigiPath Digest #52, I review three studies on pathology foundation models, scanner...
Episode #243
Send us Fan Mail What happens when AI models that perform almost perfectly on scattered cervical cells become less reliable than a coin flip on crowded cell groups? In DigiPath Digest #51, I examine what this...
Episode #242
Send us Fan Mail What good is a powerful foundation model if it slows the pathologist down, can’t explain its result, or doesn’t fit the clinical workflow? Foundation models are gaining attention across digital...
Episode #241
Send us Fan Mail Does more experience automatically make a cytotechnologist more accurate—or does where they look first matter more? In DigiPath Digest #50, I review a digital cytology eye-tracking study that challenges...
Episode #240
Send us Fan Mail Can a treatment decision depend on whether one pathologist sees 45% biomarker positivity and another sees 55%? Visual immunohistochemistry scoring helped establish precision oncology. But as targeted...
Episode #245
Send us Fan Mail Is your digital pathology rollout moving so slowly that it’s creating a fragmented workflow instead of transforming the department? In this episode of the Digital Pathology Podcast, I speak with Dr...
Episode #243
Send us Fan Mail If AI is already being used across the drug development pipeline, why hasn’t its impact matched the investment? AI can help researchers review scientific literature, predict protein structures...
Episode #242
Send us Fan Mail What does AI literacy actually look like for pathologists, researchers, and future clinicians? And how do you teach it in a way that is practical, not abstract? In this episode, I talk with Candice Chu...
Episode #241
Send us Fan Mail Are pathology foundation models actually ready for labs, or are they still stronger on paper than in practice? In this episode of DigiPath Digest #49 , I unpack a timely review on pathology foundation...
Episode #240
Send us Fan Mail How far can pathologists take visual biomarker scoring before human vision becomes the bottleneck? In this episode, I talk with Doug Bowman. PhD, VP Precision Medicine at Indica Labs , about what...
Episode #239
Send us Fan Mail Can AI copilots really keep up with pathologists when the cases are new, the workflow is messy, and the benchmark is actually protected from leakage? In this episode of DigiPath Digest #48 , I focus on...
Episode #238
Send us Fan Mail Do you really need a scanner, whole slide images, and AI infrastructure before you can start in digital pathology? In this episode, I argue that you do not. I’m Dr. Aleksandra Zuraw, veterinary...
Episode #237
Send us Fan Mail Why are pathology vendors still speaking different image languages when radiology solved that problem decades ago? In this episode of DigiPath Digest #46 , I talk through four papers that all point to a...
Episode #236
Send us Fan Mail What if the most frightening part of a pathology report is not the word cancer, but the silence that follows? In this episode of the Digital Pathology Podcast, Dr. Aleksandra Zuraw talks with Michele...
Episode #235
Send us Fan Mail DigiPath Digest #45 asks a practical question: can AI in pathology move from correlation to real clinical use? In this episode, I review four papers that push on that question from different angles...
Episode #234
Send us Fan Mail Where is AI in pathology actually becoming useful right now? In this episode of DigiPath Digest , I review 4 new PubMed papers across digital pathology , whole slide imaging (WSI) , computational...
Episode #233
Send us Fan Mail Paper Discussed in this Episode: Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings. Bedőházi Z, Biricz A, Kilim O, et al. Journal of...
Recent guests on Digital Pathology Podcast. Study who booked and why before you pitch.
Professor and Extension Economist in the Department of Agricultural Economics at Texas A&M University, Dale Carnegie Training of Westchester
Commissioner, candidate for Yolo County Judge, Bryan Cave Leighton Paisner
Senior Advisor on Materials and Manufacturing, University of Arkansas
Performance & Confidence Coach, Northwell Health Smith Institute for Urology
PitchCentric classifies Digital Pathology Podcast under these industries. Guests from them are the closest fit, and each links to the best podcasts in that industry.
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