Digital Pathology Podcast

Send us Fan Mail Why does it take three years to deploy a digital pathology tool that only took three weeks to build? That’s the reality no one talks about—but every lab feels every time they deploy a new tool... In this episode, I sit down with Andrew Janowczyk, Assistant Professor at Emory University and one of the leading voices in computational pathology, to unpack the practical, messy, real-w...

Send us Fan Mail Why are billions of people still invisible in genomic research—and what does that mean for the future of precision medicine? In this episode, I sit down with Victor Angel Mosti, founder and CEO of Omica. Ai, for one of the most insightful conversations I’ve recorded about data equity and building ethical, community-centered AI. Victor shares not only his personal cancer story but...

Send us Fan Mail How far can AI go in helping us diagnose disease—without losing the human judgment patients rely on? In this episode, I break down four studies shaping the future of digital pathology, oncology, and neurology. From spatial biology updates at SITC to voice-based Alzheimer’s detection, deep learning for sarcoma prognosis, and new guidelines for safe AI deployment, this week’s digest...

Send us Fan Mail If your pathology reports and other data could talk, what would they say about the future of precision medicine? The truth is, most labs already have the data—they’re just not having a conversation with it. In this episode, I talk with Peter O’Toole, President and Chief Software Architect at mTuitive . We recorded live at Pathology Visions and are covering the power of structured...

Send us Fan Mail Is your lab truly digitally ready—or just scanning slides? That’s the question I unpack in this live discussion from Day 2 of SITC’s 40th Anniversary Meeting , joined by David Anderson (Biocare Medical) and Don Ariyakumar (Hamamatsu Photonics) .  Together, we explore what digital readiness really means for multiplex immunofluorescence (mIF) and how to build reliable, reproducible...

Send us Fan Mail Can spatial biology and multiplex immunofluorescence truly transform how we understand cancer? I went live from the Society for Immunotherapy of Cancer (SITC) 2025 — the 40th Anniversary Meeting to explore how spatial biology, multiplex IF, and digital pathology are coming together to redefine cancer diagnostics, research, and precision medicine. This session kicked off a weekend...

Send us Fan Mail Can one AI system learn from every organ — and teach us something new about all of them? In this edition of DigiPath Digest #31 , I explore how artificial intelligence is transforming pathology across multiple organ systems , revealing connections that help us diagnose faster, more consistently, and more accurately than ever before. From glomerulonephritis to hepatocellular carcin...

Send us Fan Mail If artificial intelligence can match—or even surpass—our diagnostic accuracy, what happens to the role of the pathologist? That’s the question I explore in this episode of DigiPath Digest #30 , where I break down three fascinating papers showing how AI is changing the way we diagnose, classify, and predict outcomes in renal transplant biopsies, thyroid cytology, and gastrointestin...

Send us Fan Mail Why do some pathologists still hesitate to trust digital slides—even after the FDA says “yes”? Because accuracy in digital pathology isn’t just about pixels—it’s about precision, validation, and confidence. In this episode, I talk with Dr. Keith Wharton, MD, PhD, Global Medical Director at Roche Diagnostics, about how the Roche Digital Pathology DX system earned its FDA clearance...

Send us Fan Mail Live from Pathology Visions 2025 in San Diego , I share highlights from Day 2 of the world’s leading digital pathology conference, where experts explored how AI, empathy, and training are shaping the next generation of pathologists . This episode captures the shift from technology as a tool to technology as a bridge — helping us connect with patients in more meaningful ways. What...

Send us Fan Mail Live from Pathology Visions 2025 in beautiful San Diego , I sat down with Imogen Fitt from Signify Research to explore how AI, digital pathology, and interoperability are transforming the way we diagnose cancer and deliver patient care. The conference theme, “From Pixels to Patients,” perfectly captures this year’s shift — from theoretical discussions about AI to real-world implem...

Send us Fan Mail Will AI make doctors and specialists less skilled—or even replace them? That’s the question I explore in this episode of DigiPath Digest #29 . As someone working where AI meets digital pathology , I’m both excited and cautious about how automation shapes our skills and professional identity. In this episode, I discuss two studies that ask tough questions about AI, expertise, and t...

Send us Fan Mail What if climbing the digital pathology “mountain” isn’t about reaching the summit alone—but knowing where base camp is, and who you bring with you? In this episode, I take you inside the Digital Diagnostic Summit in Park City , hosted by Lumea , where fewer than 100 digital pathology leaders gathered to share their journeys, challenges, and solutions.  From resilient metaphors of...

Send us Fan Mail What if up to 35% of the diagnostic color data on your pathology slides never reaches your eyes—just because of your monitor? In this episode, sponsored by Barco , I sit down with Dr. Monika Lamba Saini (ADC Therapeutics) and Tom Kimpe (Barco) to uncover why color calibration in digital pathology isn’t optional anymore—it’s critical for diagnosis, efficiency, and AI readiness. Hig...

Send us Fan Mail 7 Counterintuitive Secrets from NCCN’s 2025 AI in Cancer Care Summit When the National Comprehensive Cancer Network (NCCN) gathers healthcare leaders, people listen. I attended the 2025 Policy Summit on the evolving AI landscape in cancer care—and walked away with insights that were raw, practical, and surprisingly hopeful. Instead of hype or overpromising, cancer care leaders sha...

Send us Fan Mail 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 models, we look at how advanced AI compares to h...

Send us Fan Mail 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 pathology foundation model for EGFR biomarker det...

Send us Fan Mail 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 pathology – what it is and how it could orchestrate work...

Send us Fan Mail “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 series from UPMC’s Computational Pathology & AI...

Send us Fan Mail 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 data-packed episode of DigiPath Digest , wh...

Send us Fan Mail 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 fibrosis assessment, and all the way to spatial im...

Send us Fan Mail 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 studies highlight the growing value—and responsibility...

Send us Fan Mail 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? Surprisingly—yes. But don’t panic. This episode...

Send us Fan Mail 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 learning operations (ML-Ops) —what they mean for di...

Send us Fan Mail 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 of our 7-part AI in Pathology series , we tackl...