Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artif...
121: How Pathology Images Can Transform Cancer Understanding w/ Dr. Lija Joseph
Send us a textIn 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 their pathology slides, and empowering them with knowledge about their diagnoses.🔬 Key Topics Covered:[00:00:00] Introduction to Patient-Centric Pathology[00:01:00] Meet Dr. Lija Joseph: Her Background and Journey[00:05:00] The Patient Who Inspired a New Approach[00:10:00] Why Patients Need to See Their Pathology Images[00:15:00] The Power of Knowledge: How Patient Awareness Improves Care[00:20:00] Overcoming Barriers to Patient-Pathologist Communication[00:25:00] How Digital Pathology Can Make This Scalable[00:30:00] The Role of Technology in Breaking Down Access Barriers[00:35:00] Convincing Healthcare Leadership to Support This Initiative[00:40:00] How Digital Pathology Can Transform Patient Outcomes🩺 Why This Matters:Most patients never meet their pathologists—but should they? Dr. Joseph believes so. She shares powerful stories of how patients who see their own slides gain a deeper understanding of their disease, make better treatment decisions, and experience greater peace of mind.🚀 How Digital Pathology Can Change the Future:Dr. Joseph’s approach is innovative, but digital pathology can take it even further. Imagine a world where patients don’t have to visit a hospital to see their biopsy results but can access them remotely through secure digital platforms. This technology has the potential to bridge the gap between patients and their pathologists, improving care and trust.🎧 Tune in now to learn how pathology can become more patient-focused!#DigitalPathology #PatientCenteredCare #PathologyInnovation #AIinHealthcareSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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120: DigPath Digest #21 | AI's Role in Prostate & Breast Cancer Diagnosis and Collaborative Annotation Tools
Send us a textWelcome 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 platform HistioColAI for enhancing histology image annotation, and learn about AI's role in improving breast cancer detection. Dive into topics such as the role of AI in renal histology classification, the innovative TrueCam framework for trustworthy AI in pathology, and the latest advancements in digital tools like QuPath for nephropathology. Stay tuned to elevate your digital pathology game with cutting-edge research and practical applications.00:00 Introduction to DigiPath Digest #2101:22 PSMA PET in Prostate Cancer06:49 HistoColAI: Collaborative Digital Histology12:34 AI in Mammogram Analysis17:21 Blood-Brain Barrier Organoids for Drug Testing22:02 Trustworthy AI in Lung Cancer Diagnosis30:09 QuPath for Nephropathology35:30 AI Predicts Endocrine Response in Breast Cancer40:04 Comprehensive Classification of Renal Histologic Types45:02 Conclusion and Viewer EngagementLinks and Resources:Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with PerplexityHistoColAI Github PagePublications Discussed Today:📰 Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007📰 HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration📰 Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development📰 Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images📰 GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning📰 Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer📰 Leveraging explainable AI and large-scale datasets for comprehensivSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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119: DigitPath Digest #19 | Cytology's Digital Revolution, Prostate Cancer Tsunami + Live AI Demo
Send us a textIn 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 help. IYou will also listen to a live demo of me using an AI assistant to decode a scientific paper in real-time. Tune in to stay on top of the digital pathology research in 2025!00:00 Welcome to DigiPath Digest00:53 Introduction and New Year Greetings01:41 Diving into DigiPath Digest01:44 AI in Respiratory Cytology06:11 The Role of AI in Pathology09:49 Multi-Omics and AI11:28 Radiomics and Pathomics14:44 Live Q&A and Future Plans20:09 Prostate Cancer Tsunami22:34 Thyroid Cytology and Live AI-Assistant demo31:07 Conclusion and the option to send texts :)Links and Resources:Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with PerplexityPublications Discussed Today:📝 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology 📝 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization📝 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma📝 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami📝 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic ReviewSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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118: Why are So Few Pathologists Attending Digital Pathology Conferences
Send us a textIn 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 the adoption of digital pathology across the profession.What You’ll Hear in This Episode:Startling Observations (00:02:00): Only 10% of attendees at some digital pathology conferences are pathologists. Why is this the case, and what does it mean for the future of the field?Barriers to Adoption (00:04:00): From time constraints to a lack of institutional support, we unpack the key challenges stopping pathologists from going digital.Mentorship and Collaboration (00:09:00): How mentorship programs can connect seasoned professionals with early-career pathologists to share knowledge and drive adoption.The Role of the Next Generation (00:15:00): Insights into how young pathologists can lead the way with their enthusiasm and fresh perspectives.Engaging the Skeptics (00:07:00): Strategies to introduce hesitant or resistant pathologists to the transformative power of digital tools.Global Comparisons (00:10:00): What can the U.S. learn from Europe and Asia about accelerating digital pathology adoption?Leveraging Leadership and Advocacy (00:19:00): How young pathologists can work with leadership to introduce digital pathology as a standard practice in their organizations.The Impact of Digital Pathology on Work-Life Balance (00:20:00): Exploring how remote sign-outs and shorter turnaround times can enhance both patient care and pathologists’ quality of life.Making Digital Pathology the Norm (00:24:00): Ideas for shifting digital pathology from a secondary option to the standard of care, addressing common fears and misconceptions.Future Plans and Next Steps (00:28:00): A look at actionable steps for advancing digital pathology through podcasts, mentorship, and departmental advocacy.Key Takeaways:This conversation isn’t just about identifying challenges—it’s about solutions. We discuss how collaboration, leadership, and individual responsibility can drive meaningful change in digital pathology. Whether you’re a seasoned pathologist or just starting your career, this episode offers inspiration and actionable ideas to make digital pathology a core part of the profession.Connect With Us:Share your thoughts on why more pathologists aren’t attending these conferences. What’s holding them back, and what changes would you like to see in your department? Let’s keep this important conversation going!Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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117: Tertiary Lymphoid Structures in Colorectal Cancer Prognosis | Dr. Aleks + AI
Send us a textLeveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal CancerIn 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 potential to predict colorectal cancer prognosis. We discuss a study published in the October 2024 issue of Precision Clinical Medicine, exploring different methods of quantifying TLS using digital pathology and AI. The paper title is: "Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study"The findings highlight TLS density as a reliable predictor of survival and its correlation with immune responses and microsatellite instability. We also touch upon the potential for AI to streamline TLS analysis in clinical settings and the broader implications for personalized medicine. Join us as we dive into the intersection of digital pathology and computer science, featuring insights and commentary from my AI co-hosts, Hema and Toxy.00:00 Welcome and Introduction00:45 Introducing the New AI Tool: Notebook LM by Google01:11 Experimental Series: "Aleks + AI"02:06 Deep Dive into Tertiary Lymphoid Structures (TLS)03:18 Understanding TLS and Their Role in Colorectal Cancer04:20 Quantification Methods and Key Findings05:02 Implications for Personalized Medicine09:02 AI in TLS Analysis and Future Prospects11:00 CMS Classification and TLS Density12:08 Study Limitations and Future Directions15:40 Final Thoughts and Wrap-Up16:28 Feedback and Future PlansTHIS EPISODE'S RESOURCES116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving PrivacyPUBLICATION DISCUSSED TODAY📝 Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study🔗https://academic.oup.com/pcm/article/7/4/pbae030/7826772📱 Send us a textSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join 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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