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Hosted by Aleksandra Zuraw, DVM, PhD · 🇺🇸 US · EN-US · 246 episodes
Established thought leaders with verified media credentials.
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.
Aleksandra Zuraw, DVM, PhD hosts Digital Pathology Podcast, a science show with 246 episodes published.
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
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 the
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. Syed
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, prioritiz
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,
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 mo
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 happens
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 o
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 pathologi
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
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 Mit
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: comp
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 patholo
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
Send us Fan Mail Paper Discussed in this Episode: Integrating AI-Powered Digital Pathology With Case-Based Teaching: A Novel Paradigm for Renal Education in Medical School. Zhou H, Cui L. Clin Teach 2026; 23(3):e70421. d
Send us Fan Mail Paper Discussed in this Episode: Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics. Maryam Alwahaibi and Nasar Alwahaibi. Front. Med. 2026; 13:1
Send us Fan Mail Paper Discussed in this Episode: Spatial omics and AI for clinically actionable cancer biomarkers. Reitsam NG. PLoS Med 2026; 23(4): e1005049. Episode Summary: In this deep dive, we explore how artificia
Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in clinical oncology: Multimodal integration and translational development. Ruichong Lin, Zhenhui Zhao, Zhonghai Liu, Jin Kang, Kang Zhang, Xiaoyi
Send us Fan Mail I did something I've never done before for this episode — I went live from the middle of a national park. This is DigiPath Digest #42, broadcasting from the Great Sand Dunes National Park in Colorado via
Send us Fan Mail Paper Discussed in this Episode: How to bring generative AI to oncology practice. D. Truhn & J. N. Kather. ESMO Real World Data and Digital Oncology 2026. Episode Summary: In this journal club deep dive,
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Digital Pathology Podcast is hosted by Aleksandra Zuraw, DVM, PhD. The show is categorised under science (natural) and has published 246 episodes.
Digital Pathology Podcast has published 246 episodes.
Digital Pathology Podcast regularly covers science, natural, health. It sits in the science category, with a natural focus.
Digital Pathology Podcast is accessible for guests with genuine science expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Digital Pathology Podcast hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Digital Pathology Podcast average 37 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Digital Pathology Podcast's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
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