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Aleksandra Zuraw Dvm Phd Podcasts

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Digital Pathology Podcast

Aleksandra Zuraw, DVM, PhD

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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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Send us a text What if the way we quantify pathology is more guesswork than science? In this episode of DigiPath Digest, I take you through the latest research where AI is not just supporting but challenging traditional methods of image analysis in neuropathology, nephrology, hematology, and cytology. From Boston brain banks to Mayo Clinic kidney m…
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Send us a text What if the AI tools we trust for cancer diagnosis are not always correct? This episode of DigiPath Digest takes on the uncomfortable but critical question: can AI “lie” to us—and how do we verify its performance before adopting it in clinical practice? Highlights: [00:02:00] Foundation models in action: Deployment of a fine-tuned pa…
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Send us a text What if AI could predict cancer outcomes better than traditional methods—and at a fraction of the cost? In this episode, I explore how multimodal AI is reshaping lung and prostate cancer predictions and why integration challenges still stand in the way. Episode Highlights with Timestamps: [00:02:57] Agentic AI in toxicologic patholog…
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Send us a text “AI in Pathology Isn’t Coming — It’s Already Here. Are You Ready?” From confusion to clarity — that’s what this episode is all about. I sat down with Drs. Liron Pantanowitz, Hooman Rashidi, and Matthew Hanna to dissect one of the most important and comprehensive AI-in-pathology resources ever created: the 7-part Modern Pathology seri…
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Send us a text Can AI Grade Cancer Better Than Us? The Truth About T-Cell Imaging, Biomarkers & Digital Pathology Disruption You think Saturday mornings are for coffee? Try diving into bone marrow morphology, organ donor kidney biopsies, and AI-driven metastasis detection at sunrise. That’s how I do it—and you’re invited to join. Welcome to another…
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Send us a text AI Pathology & Genomics: A New Benchmark for Predicting Gene Mutations If you still think visual quantification is “good enough” in pathology, think again. In this 27th episode of DigiPath Digest, I break down four transformative abstracts that show how AI is shifting our diagnostic landscape—from breast cancer segmentation to fibros…
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Send us a text If our visual scoring is still based on gut feeling, how do we scale precision? In this week’s DigiPath Digest, I explored four new AI-focused papers that could reshape how we diagnose prostate, bladder, gastroesophageal, and endocrine cancers. From automated IHC scoring to predicting urethral recurrence post-cystectomy, these studie…
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Send us a text If we don’t learn to work with LLMs now, we might end up competing with them. 🧠 In this week’s DigiPath Digest, I return to our Journal Club to unpack the latest research on AI in tumor classification, focusing on GPT-4o, LLaMA, and other LLMs. Can these models really outperform traditional tools when analyzing pathology reports? Sur…
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Send us a text AI in Pathology: ML-Ops and the Future of Diagnostics What if the most advanced AI models we’re building today are doomed to die in the machine learning graveyard? 🤯 That’s the haunting question I tackled in the final episode of our 7-part series exploring the Modern Pathology AI publications. In this session, I explored machine lear…
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Send us a text Can We Ever Eliminate Bias in AI for Pathology? Every time we think we’ve trained a “neutral” algorithm, we discover our own fingerprints all over it. Our biases. Unconscious. Systemic. Data-driven. And if we ignore them, AI won’t just fail—it will fail patients. Welcome back, my digital pathology trailblazers! In this sixth episode …
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Send us a text The Most Overlooked Risk in AI for Pathology? It’s Not What You Think… Welcome, my trailblazing digital pathologists! In this episode, I dive headfirst into the regulatory maze of Artificial Intelligence (AI) in pathology, covering global frameworks, safety risks, ethics, and the future of software as a medical device. While regulati…
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Send us a text In this episode sponsored by Epredia, Dr. Anil Parwani explores the transformative journey of digital pathology from basic slide scanning to AI-driven diagnostics. He shares real-world implementation experiences and demonstrates how these technologies are addressing critical challenges in pathology practice. Pathology faces increasin…
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Send us a text You might be using AI models in pathology without even knowing if they’re giving you reliable results. Let that sink in for a second—because today, we’re fixing that. In this episode, I walk you through the real statistics that power—and sometimes fail—AI in digital pathology. It's episode 4 of our AI series, and we’re demystifying t…
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Send us a text What if I told you the biggest AI breakthroughs in pathology aren’t coming from ChatGPT or generative tools—but from the quiet power of predictive analytics and machine learning? In this episode, I explore the non-generative side of artificial intelligence in pathology. These are the tools that detect tumors, segment tissue, classify…
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Send us a text ❗️Is synthetic data trustworthy enough to train AI for patient care? It just might be—and that's what both excites and terrifies me. ❗️ Hey trailblazers! In this episode of the Digital Pathology Podcast, I take you through the second part of our AI in Pathology series—this time, we’re focusing on generative AI and how it’s revolution…
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Send us a text Generative vs. Non-Generative AI in Pathology: Why the Difference Matters If we don’t start defining what kind of AI we’re talking about, we risk letting buzzwords replace real science. 🧠 This is where we begin—at the foundation. Welcome to the first episode of our 7-part Guided Journey through AI in Pathology, inspired by two must-r…
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Send us a text Will FDA rules disrupt the way we diagnose diseases? In this episode, I break down a seismic shift in lab medicine: a federal court has vacated the FDA’s controversial rule classifying lab-developed tests (LDTs) as medical devices. This change carries serious implications for innovation, digital pathology, AI-based diagnostics, and s…
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Send us a text You think going digital in pathology just means buying a scanner? Think again. In this episode sponsored by Epredia, I sat down with Ryan Davis, Director of Global Business Strategy at Epredia, to talk about what it really takes to implement digital pathology—and why modularity, cytology support, and AI integration are changing the g…
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Send us a text In this episode, I talk with Tiffany Chen, MD, and Ben Cahoon from Techcyte about Fusion, their new digital pathology platform. Fusion integrates clinical and anatomic pathology workflows, AI algorithms, and electronic health records—all into one streamlined experience. We explore how Fusion simplifies case management, improves diagn…
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Send us a text Why do so many digital pathology tools stall before they ever reach patients? In this USCAP 2025 special sponsored by Muse Microscopy, I talk with Esther Abels, founder of SolarisRTC, regulatory strategist, and the force behind the first FDA-cleared whole slide imaging system. We break down what startups and established companies mus…
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Send us a text Can you still call it “digital transformation” if you’re scanning slides and still tethered to glass? This special episode, recorded at USCAP and sponsored by MUSE Microscopy, features Dr. Robert Osamura from Japan. We explore how digital pathology is being implemented across Japanese hospitals, how regulations shape adoption, and wh…
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Send us a text Why are so many pathologists still afraid of going digital? In this USCAP special episode sponsored by Muse Microscopy, I talk with Dr. Sarah Dry, Chair of Pathology and Laboratory Medicine at UCLA, about real-world adoption, AI fear, and how change is best managed when it's people-led. From her early digital research lab in 2007 to …
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Send us a text Why is digital pathology progressing faster in some parts of the world than others? In this international episode sponsored by Muse Microscopy, I sit down with Junya Fukuoka and Norman Zerbe—presidents of the Asian and European Societies of Digital Pathology—to unpack how cultural, regulatory, and infrastructural forces are shaping p…
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Send us a text At the last Pathology Visions 2024, I sat down with Imogen Fitt of Signify Research and Nick Best from Pathology News for a candid, energetic recap of what’s really shaping the future of digital pathology. We discuss how two pathologists drove digital pathology adoption in their lab, the reality behind radiology partnerships, the cau…
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Send us a text “It used to take 40 minutes, now it takes 15” - this is what Dr. Alae Kawam said about her AI-powered prostate biopsy evaluation workflow. In this energizing episode of the Digital Pathology Podcast recorded at PathVisions 2024, Dr. Alae Kawam joins me to reflect on where pathology is headed—from AI-assisted prostate diagnostics to d…
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Send us a text What does it take to build a digital pathology movement across the most diverse region on Earth? In this episode of the Digital Pathology Podcast, I’m joined by Dr. Junya Fukuoka, practicing pathologist, educator, and founder of the Asian Society of Digital Pathology (ASDP). From Japan to India, Saudi Arabia to South Korea, Asia’s di…
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Send us a text In this episode, I’m joined by Dr. Hamid Tizhoosh, professor of biomedical informatics at the Mayo Clinic, to unravel what’s truly holding back AI in healthcare, especially pathology. From the myths of general-purpose foundation models to the missing link of data availability, this conversation explores the technical and ethical real…
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Send us a text In this episode of the Digital Pathology Podcast, I sit down with Dr. Yuri Nikiforov, founder of the World Tumor Registry, to explore how this global, open-access whole slide image platform contributes to cancer diagnostics, education, and research. We talk about how the registry allows pathologists, researchers, and patients to view…
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Send us a text In this episode of the Digital Pathology Podcast, I explore the ethical and bias considerations in AI and machine learning through the lens of pathology. This is part six of our special seven-part series based on the landmark Modern Pathology review co-authored by the UPMC group, including Matthew Hanna, Liam Pantanowitz, and Hooman …
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Send us a text USCAP 2025 Daily Update – Day 3 Recap with Dr. Aleksandra Zuraw In this episode of the Digital Pathology Podcast, I bring you Day 3 insights live from USCAP 2025—from moderating the MUSE panel on slide-free imaging to exploring regulatory strategies, tech innovations, and collaborations across the digital pathology community. Get an …
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Send us a text USCAP 2025 Daily Update – Day 4 with Dr. Aleksandra Zuraw It’s the final day of USCAP 2025, and in this episode of the Digital Pathology Podcast, I’m sharing personal moments, spontaneous tech wins (and fails), and meaningful conversations with some of the most forward-thinking voices in digital pathology. From running around with mi…
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Send us a text USCAP 2025 Daily Update – Day 1 Highlights from Dr. Aleksandra Zuraw Welcome to the first live daily update from USCAP 2025, recorded straight from the conference floor by Dr. Aleksandra Zuraw, your host at Digital Pathology Place. In this episode, Aleks shares behind-the-scenes moments, exciting vendor previews, and key updates as t…
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Send us a text USCAP 2025 Daily Update – Day 2 with Dr. Aleksandra Zuraw Welcome back to the Digital Pathology Podcast live from USCAP 2025! On Day 2, I dive into the momentum building across the conference—covering major trends, tech insights, and how digital pathology is no longer just a topic, but a critical tool used to deliver sessions and sha…
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Send us a text In this episode of the Digital Pathology Podcast, I sit down with Matthew Nuñez, CEO of MUSE Microscopy, to discuss the groundbreaking advancements in direct-to-digital imaging in pathology. Traditional pathology workflows rely on glass slides, formalin fixation, and time-consuming processing steps. But what if we could skip the slid…
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Send us a text How Can Digital Pathology Workflows Stay Compliant and Efficient? In this episode of the Digital Pathology Podcast, I sit down with Scott Randall, Senior Application Specialist at Hamamatsu (Hamamatsu NanoZoomer), and Amanda Coble, Senior Director of Product for Proscia (Proscia’s Website), to discuss the critical role of compliance,…
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Send us a text What if we could skip glass slides altogether and go straight from fresh tissue to digital image? Muse Microscopy's SmartPath device aims to do just that, capturing diagnostic-quality images directly from fresh tissue. In this episode brought to you by Muse Microscopy, I sit down with Dr. Rao and Dr. Edwards to discuss the insights, …
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Send us a text Transforming Pathology: A Deep Dive into the Muse System This episode is sponsored by Muse Microscopy. In this episode, we explore the primary challenge of implementing digital pathology globally—digitizing the analog. A potential solution is direct-to-digital pathology, exemplified by the MUSE system by Muse Microscopy. This technol…
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Send us a text In this episode of the Digital Pathology Podcast, I explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics. As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals. We break down th…
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Send us a text In this episode of the Digital Pathology Podcast, I take a deeper dive into Generative AI in Pathology, following the AI in Pathology series published by USCAP. AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology? From synthetic data generation to multimodal AI models, this ep…
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Send us a text In this episode of the Digital Pathology Podcast, I sit down with Dr. Lija Joseph, a pathologist who is redefining patient care by making pathology more accessible and understandable. Traditionally, pathology has been a “behind-the-scenes” specialty, but Dr. Joseph is changing that by directly engaging with patients, showing them the…
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Send us a text Welcome to the 21st edition of DigiPath Digest! In this episode, together with Dr. Aleksandra Zuraw you will review the latest digital pathology abstracts and gain insights into emerging trends in the field. Discover the promising results of the PSMA PET study for prostate cancer imaging, explore the collaborative open-source platfor…
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Send us a text In this episode of the Digital Pathology Podcast, you will learn about cytology's entrance into the digital pathology space, including successful AI and scanner implementations. We cover AI's role in rapid on-site evaluation for lung cancer and share insights on a looming prostate cancer surge and how digital pathology and AI can hel…
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Send us a text In this episode, I’m joined by Dr. Giovanni Lujan, Nick Best, and Dr. Alae Kawam to explore a topic that hits close to home for many of us in digital pathology: why do so few pathologists attend digital pathology conferences? We delve into the barriers, opportunities, and actionable solutions that can help bridge this gap and drive t…
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Send us a text Leveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal Cancer In this episode of the Digital Pathology Podcast, I introduce 'Aleks + AI,' a new experimental series leveraging Google's Notebook LM to delve deeper into scientific literature. Today's focus is on tertiary lymphoid structures (TLS) and their poten…
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Send us a text In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy. I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency. You will also get updates on upcoming plans, including leveragi…
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Send us a text This episode features a conversation with Dr. Richard Doughty, Senior Medical Advisor at Aiforia Technologies, whose dual training in veterinary and medical pathology offers a unique perspective on the intersections of these fields. Together, we explore the challenges, opportunities, and innovations shaping digital pathology today. W…
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Send us a text In this episode, I sit down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners, to dive into the evolving role of AI in radiology and how it can shape the future of digital pathology. Dr. Kottler shares her unique journey, expertise, and practical frameworks for implementing AI that enhance pa…
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Send us a text Welcome back to the DigiPath Digest, fresh from PathVision! In this episode we will dive into the latest updates from the PathVision conference, covering trends in AI-driven diagnostics, the expansion of digital pathology into primary care, and the exciting new frontier of glassless pathology. Join me as I recap the highlights of Pat…
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Send us a text In this episode, I meet with Adam Cole, MD, and Jason Camilletti about how digital pathology transforms the field. Adam, the CEO of TruCore Pathology, and Jason, the CEO of PathNet Labs, share their unique journeys from the military to becoming digital pathology leaders. We explore their experiences, challenges, and innovations in in…
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Send us a text What does the FDA jurisdiction for LDTs mean for the labs? Do they need to worry? How do they need to change the way they operate? In this episode, I talk with Dr. Thomas Nifong, a clinical pathologist and VP of CDX operations at Acrovan Therapeutics, about the recent FDA ruling on laboratory-developed tests (LDTs) issued on May 6th,…
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