In this Thought Leaders episode, Sidney Ocanagil-Tunstall, Marketing Director of Pathology News, speaks with Liron Pantanowitz, Chair of Pathology at the University of Pittsburgh and a pioneer in digital pathology and computational pathology.

With a career spanning pathology informatics, whole slide imaging, and AI-driven diagnostics, Liron shares his journey from early frustrations with analogue workflows to becoming a global leader in digital transformation. He reflects on the origins of digital pathology, the development of validation guidelines with the College of American Pathologists, and how evidence-based practice has evolved over time.

The conversation explores how UPMC is scaling digital pathology across a vast network of hospitals, building one of the most ambitious AI ecosystems in healthcare. Liron discusses the creation of the CPACE AI Center, the integration of imaging, text, and tabular data, and the growing role of both traditional and generative AI in clinical workflows.

They also dive into real-world implementation challenges—from interoperability and vendor integration to cultural resistance among pathologists—and why mindset remains one of the biggest barriers to adoption. Liron shares insights into deploying AI in live clinical practice, the current lack of reimbursement models, and what the future may hold for billing, regulation, and global adoption.

Finally, the episode highlights innovative initiatives like the “scan van” concept for mobile digitisation, the importance of building digital archives, and why laboratories must act now to remain competitive in an increasingly AI-driven healthcare landscape.

Following the recent CE IVDR certification for the Fusion AP platform, join us for this Pathology Bites interview, where we speak with Ben Cahoon, CEO of Techcyte, about achieving this certification.

In this conversation, Ben explains what IVDR certification involves and why it represents a major regulatory shift from the previous IVDD framework. He discusses how stricter requirements, including notified body oversight and expanded clinical validation, are reshaping the landscape for digital pathology vendors and laboratories alike.

The discussion also explores why regulatory approval is becoming a critical factor for adoption, giving laboratories the confidence to implement new technologies more efficiently. Ben shares how Fusion AP aims to support this transition, combining clinical and anatomic pathology in a single platform with integrated AI capabilities designed to improve workflow efficiency and diagnostic accuracy.

The interview further examines the evolving role of AI in pathology, including the distinction between workflow-support tools and diagnostic algorithms, and how regulatory frameworks like IVDR will play a key role in ensuring innovation progresses alongside clinical trust.

Finally, Ben looks ahead to Techcyte’s global expansion, including growth across Europe and ongoing efforts toward FDA clearance in the United States.

Following our recent article on the risks of shortcut learning in AI-driven cancer diagnostics, join us for this short Pathology News interview, where Sidney Ocanagil-Tunstall speaks with Dr. Fayyaz Minhas from the Tissue Image Analytics Centre (University of Warwick).

In this brief conversation, Dr. Minhas expands on the key themes discussed in the article, exploring how AI models in pathology can achieve strong predictive performance while relying on correlations rather than true biological signals. He discusses challenges such as shortcut learning and confounding factors, and what this means for applications like predicting mutation status from whole slide images.

The interview also touches on the importance of robust validation, thoughtful data design, and stronger collaboration between clinicians and computational scientists to ensure AI tools are safe, reliable, and truly beneficial for patient care.

Join us for this Pathology News podcast episode as Sidney Ocanagil-Tunstall speaks with Monika Lamba Saini about the growing impact of digital pathology, clinical trials, and AI, exploring how these technologies are reshaping workflows, biomarker discovery, and drug development.

In this episode, Sidney speaks with Monika Lamba Saini, Global Translational Pathology Leader, who brings over 20 years of experience across clinical pathology, research, and clinical trials. She shares her perspective on the evolution of pathology from traditional microscopy to a more digital, data-driven discipline, highlighting how adoption accelerated during COVID-19 with the shift to remote slide review and virtual training.

They discuss how digital pathology is improving clinical trials through centralized review, streamlined workflows, and enhanced global collaboration, while also reducing logistical challenges such as physical slide transport. Monika also explains how AI is transforming biomarker analysis, enabling more precise, reproducible, and scalable insights at cellular and subcellular levels, and supporting advances in translational research and drug development.

Finally, the conversation looks ahead to the future of pathology, addressing ongoing challenges around validation, regulation, and data governance, while emphasizing a hybrid model where AI augments human expertise. Overall, the episode highlights a shift toward more efficient, collaborative, and patient-focused clinical trials driven by digital innovation.

In this Thought Leaders episode, Jonathon Tunstall, Founder and CEO of Pathology News, speaks with Martijn Hartjes, Global Business Unit Leader for Clinical Informatics at Philips. With more than 20 years at Philips spanning imaging, oncology, and informatics, Martijn shares his perspective on the evolution of digital diagnostics and the path toward large-scale adoption of digital pathology.

They discuss why digital pathology adoption has been slower than expected despite advances in technology, and the real challenges laboratories face, from workflow redesign and change management to IT integration. Martijn also shares lessons learned from deploying digital pathology at scale across hundreds of laboratories worldwide.

The conversation explores Philips’ enterprise approach to digital pathology, the importance of deep LIS integration and standards such as DICOM, and how pathology data is becoming an essential part of broader integrated diagnostics across radiology, oncology, and clinical informatics.

Finally, they look ahead to the growing role of AI, cloud infrastructure, and enterprise imaging platforms in improving efficiency, addressing workforce shortages, expanding access to expertise, and enabling faster, more accurate diagnoses for patients worldwide.

Join us for this Thought Leaders episode as Dr Shan Raza, Associate Professor at the TIA Centre, University of Warwick, shares his journey from electrical engineering into computational pathology and AI-driven cancer research.

Hosted by Sidney Ocanagil-Tunstall, Marketing Director of Pathology News, this conversation explores how Shan’s combined expertise in image analysis, wet lab workflows, and AI gives him a unique perspective on building robust algorithms for pathology.

We discuss the growth and mission of the TIA Centre, the move toward multimodal analysis across pathology, radiology and genomics, and how international collaborations and grand challenges like CHIMERA are shaping the future of AI in medicine.

A major focus of the episode is the TIA Toolbox, an open-source suite for running AI on pathology images, covering its motivation, core features, recent additions, and how it has supported multiple challenge wins across diverse tissue types.

We also reflect on the realities of clinical AI deployment, trust, regulation, and why a human-in-the-loop approach will remain essential as digital pathology continues to evolve.

This episode offers a practical and forward-looking view of how open tools, collaboration and multimodal data are driving the next phase of computational pathology.

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.

In this episode of Pathology News Talks, we sit down with Ben Cahoon, CEO of Techcyte, one of the most innovative leaders in the digital pathology space.

Ben shares the journey from his early days at Intel to building Techcyte — a company redefining pathology through the Fusion Platform, which unites anatomic and clinical pathology in a single workflow.

We dive into:

💡 How Techcyte evolved from environmental and veterinary labs to human clinical and anatomic pathology

🧬 The power of combining AI, workflow, and data integration

🔬 The path to true multimodal pathology — merging digital slides, molecular data, and patient history

⚙️ What “scanner agnostic” really means and why DICOM compliance is key

🧠 Why the future of diagnostics isn’t AI versus humans, but AI with humans

Whether you’re in pathology, informatics, or digital health, this one’s packed with insights on where our industry is heading and how software platforms like Fusion are accelerating that shift.

Captured live on 19th October 2025 at ESMO in Berlin, this Pathology News special with Felix Faber and Dr. Patrick Frey explores how multiplex immunofluorescence, paired with AI and foundation models, is enabling deeper insight into spatial biology, biomarker validation, and the evolving role of diagnostics in cancer care.

For more on Mindpeak, head over to Pathology News.

In this episode of Pathology News Talks, we sit down with Andy Beck, Co-Founder and CEO of PathAI, to explore the transformation of pathology through artificial intelligence.

Andy shares his journey from academia to building one of the most influential companies in digital pathology, reflects on the challenges of regulation and adoption, and discusses PathAI’s recent FDA clearance for its AISight DX platform. We also dive into collaborations with Roche and leading medical centres, the rise of digital biomarkers, and what the future of AI-powered pathology might look like in the next decade.

If you want to understand how digital pathology, AI, and clinical workflows are converging to shape the future of diagnostics, this episode is for you.