Pathology News
Pathology News
Podcast Description
Pathology News is your go-to podcast for the latest insights and innovations in pathology. We explore digital pathology, molecular diagnostics, and more, featuring conversations with industry experts and leaders. Whether you're a pathologist or simply interested in the future of diagnostics, this podcast keeps you informed on the trends shaping the field. Tune in for expert perspectives and practical knowledge to enhance workflows and advance patient care.
Podcast Insights
Content Themes
The podcast covers a wide range of topics within pathology, with specific episodes focusing on digital pathology, molecular diagnostics, and AI technologies in healthcare. Examples include interviews discussing revolutionary systems like TWOD for optimizing workflows and exclusive insights from industry leaders like aetherAI's Joe Yeh on the role of AI in diagnostics.

Pathology News is your go-to podcast for the latest insights and innovations in pathology. We explore digital pathology, molecular diagnostics, and more, featuring conversations with industry experts and leaders. Whether you’re a pathologist or simply interested in the future of diagnostics, this podcast keeps you informed on the trends shaping the field. Tune in for expert perspectives and practical knowledge to enhance workflows and advance patient care.
Join us for this Thought Leaders episode as Prof. Saad Nadeem from Memorial Sloan Kettering Cancer Center explains how DeepLIIF and the DP4all (Digital Pathology for All) initiative are opening up new possibilities for digital pathology — from major cancer centres to small community labs and low-resource settings around the world.PresentersHosted by Jonathan Tunstall, CEO and Founder of Pathology News, this Thought Leaders episode features an exclusive interview with:Prof. Saad Nadeem, Computational Pathology & Medical Image Analysis, Memorial Sloan Kettering Cancer CenterIn this Thought Leaders conversation, we explore how Saad’s background in computer science, mathematics and medical image analysis led him from radiology into computational pathology, and why he views radiology, surgery and pathology as a single continuum along the patient journey.We discuss the development of DeepLIIF (Deep Learning Inferred Immunofluorescence) as a virtual re-stain method that can extend the dynamic range of IHC, improve cell and compartment segmentation, and provide a stronger foundation for robust biomarker quantification. Saad explains how this work underpins a broader push toward more objective, reproducible companion diagnostics.A major focus of the episode is DP4all, Mind’s “digital pathology for all” initiative, which uses a simple smartphone-plus-microscope workflow to generate shareable, cloud-hosted whole slide images without dedicated scanners or storage infrastructure. We examine how this approach can support telepathology, virtual tumour boards and second opinions in both low- and high-resource settings, and why many donated scanners in low-resource regions currently sit idle.We also touch on the CAP AI Playground collaboration with PathPresenter, designed to give pathologists transparent, hands-on access to AI tools without paywalls, and discuss the realities of regulation, validation and reimbursement for clinical deployment.With a frank discussion on whether digitisation is truly “inevitable,” and how accessible tools like DeepLIIF and DP4all could shift the economics and equity of digital pathology, this episode offers a compelling vision of how computational methods can support clinicians and patients far beyond the walls of major academic centres.

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