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Imogen Fitt from Signify Research joins us for her predictions for Digital Pathology in 2025. Trend 1 – Genomics and Digital Pathology Markets Becoming Inextricably Linked Genomics and digital pathology are converging as distinct yet complementary fields. Increasingly, vendors are developing solutions that bridge the gap between these areas—for example, algorithms are being commercialized to extract genomic biomarkers directly from digital pathology images. Pharmaceutical companies are also collaborating with diagnostic and imaging firms, integrating multi-modal data from whole slide images to create digital companion diagnostics. Furthermore, strategic partnerships and investments (e.g., between molecular diagnostics firms and digital pathology vendors) are helping to merge the two fields. This integration not only enhances personalized medicine by providing a more comprehensive view of patient physiology but also improves laboratory workflows and pre-screening processes. Regions like Northern Europe have already started incorporating genomic data into digital pathology information management systems, demonstrating the growing market demand for such integration. Trend 2 – Generative AI Boosting Lab Productivity Generative AI (GenAI) is beginning to reshape lab operations by enhancing productivity and efficiency. Health tech and life sciences companies are actively exploring GenAI applications to automate report generation, consolidate knowledge, and streamline audit and quality control processes. Early initiatives from leading institutions like the Mayo Clinic and companies such as Sanofi illustrate the experimental use of GenAI in laboratory settings, particularly within digital pathology image analysis. Although the commercial impact of GenAI remains in its early stages, its potential to reduce manual tasks and enhance operational workflows is becoming increasingly recognized, indicating that GenAI will soon play a vital role in laboratory productivity improvements. Trend 3 – Continued Consolidation in the Marketplace The healthcare technology market is witnessing ongoing consolidation as vendors seek to strengthen their market positions by acquiring complementary businesses. This trend is driven by the need to expand capabilities and streamline product offerings, allowing companies to better meet the evolving demands of the industry. Such acquisitions enable vendors to combine expertise, reduce redundancies, and create more integrated solutions, thereby accelerating innovation and market penetration. Trend 4 – Digital Pathology’s Clinical Growth Driven by Adjacent Stakeholders and Vendor Types Although clinical adoption of digital pathology is still emerging, growth is being propelled by stakeholders from adjacent markets. BigTech companies—such as AWS, Microsoft, Google, and Dell—are entering the space, drawn by the revenue potential of whole slide image storage and real-world data management. Pharmaceutical firms are strategizing to secure reimbursement for digital companion diagnostics and exploring deployment models that integrate low-throughput pathology scanners in clinical settings. Additionally, radiology vendors are advocating for standardization efforts (like DICOM and Vendor Neutral Archives), which facilitate the integration of digital pathology systems with broader enterprise imaging platforms. New players in microscopy, laboratory information management systems (LIMS), teleradiology, and image exchange further underscore the expansive growth trajectory of digital pathology. Overall, while challenges remain, these four trends illustrate a dynamic and transformative future for healthcare, promising significant advancements in patient care, research, and operational efficiency.

Happy Holidays Everyone! Here is the Digital Pathology Round-Up covering events in November with Imogen Fitt of Signify Research. There will be no December roundup but rather an assessment of the state of the industry and Predictions for 2025 coming in January. Customer Expansions: Ibex Medical Analytics announced significant expansions with existing customers. Alverno Laboratories, operating in Illinois and Indiana, launched Ibex’s AI-based breast cancer diagnostic platform, building on its earlier adoption of prostate diagnostics. A gastric platform is also in development. Meanwhile, France’s Institut Curie deployed Ibex’s prostate solution, with further expansions planned. These updates highlight the slow but steady adoption of AI in pathology, reinforcing its value despite lengthy validation processes. Partnerships: OptraSCAN secured $30M in Series B funding, led by Molbio Diagnostics, to accelerate R&D, expand global sales, and enhance AI pathology tools. Partnerships between genomics and digital pathology firms are expected to deepen as AI solutions advance. Lunit Oncology also announced a collaboration with AstraZeneca to develop AI-powered digital pathology tools for assessing non-small cell lung cancer (NSCLC) risks. Using Lunit’s SCOPE Genotype Predictor, this partnership focuses on identifying key mutations, marking Lunit’s first direct deal with a global pharmaceutical company. Third-Party Integrations: Owkin launched its MSIntuit CRC v2 test for colorectal cancer screening on Proscia’s Concentriq platform and joined the Proscia Ready alliance. The focus now shifts to the implementation of these integrations, whether as pop-ups or embedded tools, and the timeline for deployment. PathAI also announced the integration of tools from Deep Bio, DoMore Diagnostics, Paige, and Visiopharm into its AISight platform. With many IMS platforms adding third-party AI tools, differentiation strategies for vendors in an increasingly crowded market remain a key question

Imogen Fitt from Signify Research joins us for the October Digital Pathology Roundup, which highlights significant developments in digital pathology and related fields, focusing on funding, telepathology, generative AI, and enterprise imaging. Funding: Mindpeak GmbH secured $15.3 million in Series A funding led by ZEISS Ventures and other notable investors, aiding product development and geographic expansion. Aignostics raised €31.4 million in Series B funding, backed by Athos Partners and Mayo Clinic Ventures, to enhance its platform for translational research and companion diagnostics, following a partnership with Bayer. StratifAI obtained €1.5 million in pre-seed funding from Neulogy Ventures and others to support digital biomarker development for breast cancer and biopharma services. Telepathology Services: Inify Laboratories announced its expansion into the UK market, focusing on prostate cancer diagnostics, backed by SEK 150 million funding to develop AI for gastrointestinal diagnostics. Originally part of ContextVision AB, Inify pivoted to telepathology using AI. In the US, NorDx adopted PreciPoint's Advanced Digital Pathology Solutions for frozen section diagnostics, emphasizing AI’s role in improving diagnostic turnaround times, a trend supported by investments from major players like Quest Diagnostics. Generative AI: Proscia introduced "Concentriq Embeddings" and a Developer Toolkit to assist AI development for life sciences. These tools use foundation models like DINOv2 and ConvNext to generate data embeddings from slide images, enabling customized AI workflows and integration. Enterprise Imaging: Gestalt partnered with Optum to integrate its PathFlow solution into Optum’s Enterprise Imaging Suite. This collaboration, involving Change Healthcare (acquired by Optum), represents a strategic move to advance digital pathology within enterprise healthcare platforms.These advancements underline the growing role of AI and digital solutions in pathology, fostering innovation and collaboration across the industry

September's round-up highlights significant advancements in AI integration, structured reporting, real-world data (RWD), hematology, and funding in the digital pathology space. Aiforia Technologies partnered with Assistance Publique–Hôpitaux de Paris (AP-HP) to introduce AI-based prostate solutions into clinical use, backed by regional funding from Île-de-France. This initiative aims to study AI's impact in clinical care, with the potential for broader AI implementation across France, as AP-HP plans to expand AI usage across all its pathology departments. Proscia and Smart Reporting GmbH also joined forces, integrating SmartReports, a structured reporting tool, into Proscia’s Information Management System (IMS). Structured reporting enables the generation of standardized medical reports that facilitate large-scale data comparison and analysis. This tool is crucial for precision medicine and better understanding diseases in RWD studies. Smart Reporting has a strong presence in the radiology field and was highlighted in a comprehensive Imaging IT round-up. Proscia further introduced an RWD solution on its Concentriq® platform, integrating over 10 million pathology images with clinical and genomic data. This tool offers life sciences organizations access to de-identified patient data for drug development and marks a pivotal step toward making IMS platforms essential links between research and clinical applications. In hematology, Beckman Coulter Diagnostics and Scopio Labs expanded their partnership, adding the Full-Field Bone Marrow Aspirate (FF-BMA) application to their existing automated hematology solutions. This marks a successful continuation of their collaboration, which began in 2023.

Imogen Fitt from Signify Research joins us to recap the news and events of August. Paige recently announced several key changes, starting with the appointment of Razik Yousfi as the new CEO. Paige is transitioning its diagnostic AI applications to a standalone solution compatible with other digital pathology platforms. Additionally, the company partnered with Indica Labs, integrating AI models into Indica’s workflow software and focusing on joint commercial efforts in pharma services, preclinical, and translational applications. This shift away from the IMS follows challenges such as market demand for interoperability and slow clinical growth. Paige also announced that its cancer research models, Virchow and PRISM, will be open-source, while advanced versions remain commercially licensed, aiming to boost algorithm usage through its collaboration with Microsoft. Roche expands its digital pathology open environment by integrating over 20 AI algorithms from eight collaborators to enhance cancer diagnostics and precision medicine. On the funding front, PreciseDx secured $20 million in a Series B round to commercialize PreciseBreast™ risk assessment. Labcorp and Quest Diagnostics' involvement signals growing interest from major labs in digital pathology (DP). Similarly, SigTuple raised $4 million to expand geographically, focusing on its AI-powered diagnostics product AI100, which received FDA clearance and is expanding into various global markets. In partnerships, Tribun Health teamed up with Ibex Medical Analytics to integrate Ibex’s AI solutions into its CaloPix platform, offering services in the EU, US, and Canada. Tribun Health’s future AI strategy emphasizes workflow efficiency, strategic collaborations, and interoperability, positioning the company for broader platform integration. Lastly, Ibex Medical Analytics and PathAI both received IVDR certifications, marking growth milestones for their prostate, breast, and gastric AI solutions. PathAI also announced new developments regarding its IMS platform. These moves highlight a growing momentum in AI-driven diagnostics and partnerships in the healthcare sector.

The July Digital Pathology Round-up with Imogen Fitt of Signify Research is here. Nucleai and Proscia Partnership: Nucleai and Proscia have partnered to integrate Nucleai's AI Predictive Biomarker algorithms into Proscia's Concentriq platform. This collaboration aligns with the rising interest in digital companion diagnostics (CDx) in clinical trials and diagnostics. The demand for imaging biomarkers is driving rapid investments, especially from pharmaceutical companies, which will influence the digitization of clinical labs. Proscia also updated its digital pathology software, adding DICOM image support and a multi-AI overlay feature, enabling the use of multiple AI tools in the pathology workflow. UK Pathology and Genomics Collaboration: The National Pathology Imaging Co-operative (NPIC) partnered with CellPath to install two Whole Slide Imaging (WSI) scanners, connecting them to NPIC's national digital pathology system. These scanners will create a digital archive for the 100,000 Genomes Project, a precision medicine initiative. This integration aims to enhance genomics research and develop prognostic algorithms for patient stratification. Asia-Pacific Developments: 3DHISTECH announced Epredia China as its new distributor. Indica Labs announced new reseller agreements in the Asia-Pacific region, covering the Philippines, Thailand, Vietnam, and Malaysia. Indica Labs plans to pursue IVD registrations, indicating growth opportunities in the APAC region. Generative AI in Digital Pathology: Scientists from Weill Cornell Medicine and Dana-Farber Cancer Institute developed generative AI tools based on ChatGPT for digital pathology. These tools provide accurate responses to digital pathology queries and help pathologists with PathML, a library for DP image analysis. While impactful in academic circles, concerns about accountability and regulation limit their clinical application. Philips received 510(k) clearance for its IntelliSite Pathology Solution 5.1, signaling potential competitive dynamics in the US digital pathology market. Funding Announcements: Scopio Labs raised $42 million in a Series D round led by Fortissimo Capital, aiming to expand globally with a focus on the US market. Clarapath secured $36 million in a Series B-1 round to commercialize its automated microtomy system, SectionStar.

A lot to talk about in June… ZayaAI introduced a Pathology Laboratory Information System (LIS), addressing integration issues between digital pathology IMS and outdated lab software. The acquisition of Visonex by PreciPoint further indicates market convergence. PathAI launched two AI products: PathExplore™ Immuno-Oncology Profiling (IOP) and IHC Explore1™, aimed at single-cell image analysis for biomarker discovery and companion diagnostics. Roche gained FDA 510(k) clearance for its VENTANA DP 200 scanner, marking rapid growth in the US market amidst increased regulation. Tempus AI went public, providing digital pathology services and patient data access, competing with vendors like Paige and PathAI through advanced algorithms for IHC and H&E staining. Imogen Fitt is Senior Market Analyst at Signify Research. During her tenure Imogen has completed studies on digital pathology, LabIT and the use of AI in drug development, expanding Signify Research’s diagnostics and life sciences business coverage.

Moving digital pathology to the cloud. We're talking about cloud computing the features and components of the cloud and how it differs from on premise computing. What are the barriers and overlooked considerations in moving your operations to the cloud? What is the truth about storage costs in 2024? Is it still a concern or have the gains been eaten away by the increasingly large amounts of data we continue to generate? How can cloud computing unlock exciting new applications at a lower cost for organizations? And finally we discuss regulatory considerations for the cloud from the perspective of the FDA EU, GD CP and GCP in developing new drugs and diagnostics. Alan Lorimer, started his professional journey as an electronics engineer at the BBC. Over his 40-year career, he's founded or led four successful businesses. Notably, he drove an IT hosting company to a successful exit in 2011. He then specialized in IT due diligence for around 60 European companies going through some kind of transaction, sharpening his analytical prowess. In 2016, Alan pivoted to digital pathology, creating the innovative QDPconnect with OracleBio, leading to the launch of Sciento Technology. Alan's journey from the BBC to cloud computing exemplifies his relentless drive for tech innovation and industry impact.

Today we are discussing how treatment decisions can be personalized through artificial intelligence and digital pathology. Our guest is Andre Esteva of Artera. Atera’s first product is in prostate cancer. We discuss how AI can improve upon the current state of the practice which largely relies on making decisions based on clinical nomograms. We discuss the concepts prediction and prognosis and how both are incorporated into treatment decisions; what goes into developing and validating AI based algorithms in digital pathology and the importance of validating these algorithms in the appropriate studies specifically randomized clinical trials. There is one huge advantage of AI based digital pathology tools over genomics and molecular tools. Image based tools can be performed instantaneously rather than waiting days to weeks. Andre Esteva is a researcher and entrepreneur in medical artificial intelligence. He currently serves as CEO of Artera and was previously Head of Medical AI at Salesforce Research. He has worked at Google Research, Sandia National Labs, GE Healthcare, and has founded four companies. His research efforts have largely focused on medical AI diagnostics and precision medicine. His publications have made the covers of Nature and Nature Medicine, and have been featured in Cell, The Lancet, NeurIPS, and similar venues. These works have been widely covered by the WSJ, Fortune, BBC, The Economist, and hundreds of other news outlets.

What is pathology 3.0? We are at an inflection point. The demand on pathologists in laboratory medicine is greater than ever. Demographics and healthcare needs of the population are shifting. New technologies such as digital pathology and molecular diagnostics are now a reality. The rules of the game are changing. There are times in any industry where massive change is inevitable and there is great opportunity to grow. And for this, we need a new mindset. Pathology 1.0 was transactional. Clinicians would send in the specimen we would send the results. Passive and fragmented. Not responsive. Pathology 2.0 involved consolidation, taking advantage of economies of scale and scope. But still transactional and fragmented. Pathology 3.0 is connected, intelligent and evolving. Pathologists can add unique value and build on previous waves of consolidation. It transcends the boundaries of disciplines and organizational silos. It integrates new technologies and is interactive. Branko Perunovic is Chief Medical Officer at Black Country Pathology Service, where he leads the pathology consolidation and the delivery of high-quality and innovative pathology services. His journey has taken him through various aspects of healthcare, including transforming pathology services, consolidating labs, fostering collaborative team dynamics, and pioneering the integration of digital pathology and digital innovation in laboratory medicine. His ultimate goal is simple: to improve patient care, making the pathology service the provider, employer, and investment of choice. Together with a dedicated team, we can achieve this vision and create a healthcare landscape that truly puts patients first.

The May Digital Pathology Roundup with Imogen Fitt of Signify Research is here. We cover 3 main topics this month: 1. Updates and new releases in the scanner sector, Including 3DHISTECH 2. Cloud and Ai marketplace developments including Aiforia 3. The state of AI adoption and real-world implementations, with news from Ibex and Aiforia We also clarify some news from last month. PathAI in its entirety isn't being sold off to Quest. Quest will be acquiring 'select assets of PathAI Diagnostics', which will evolve into Quest's 'AI and digital R&D and solutions center'. Imogen joined Signify Research in 2018 as part of the Healthcare IT team. During her tenure Imogen has completed studies on digital pathology, LabIT and the use of AI in drug development, expanding Signify Research’s diagnostics and life sciences business coverage.

Is it time for digital biomarkers? Our guest today is Torbjørn Furuseth of DoMore Diagnostics. Predictive and prognostic algorithms may be the crown jewel of digital pathology, enhancing our value as pathologists to be the chief purveyor of this information in assisting doctors and patients. We discuss the unmet need in oncology, particularly in colon cancer, to develop predictive and prognostic tools to guide therapy. We also explore the advantages of digital pathology over molecular tools and how these methodologies can be used together in some cases. What goes into the development and validation of such tools? Why might new and innovative CPT codes be necessary to encourage innovation in digital pathology? How do reimbursement challenges affect the innovation pipeline for digital pathology? And in the increasingly global marketplace, what considerations must we take into account to help patients across the world? Torbjørn is the CEO and Co-Founder of DoMore Diagnostics, a leader in AI and deep learning precision diagnostics for digital pathology, focused on outcome prediction to personalize cancer treatment. He is a medical doctor with broad experience in life sciences and oncology. After practicing as a physician in radiology and sports medicine, he transitioned into business and management as a consultant at McKinsey & Company, where he served several pharma and healthcare clients. Following McKinsey, he has held multiple leadership positions in Norwegian life science companies and served as CFO at two immuno-oncology companies. Torbjørn’s vision is to play an important role in an important innovation.

We have a new feature on Digital pathology Today: a monthly recap of the biggest and latest industry developments with Imogen Fitt of Siginfy Research. April was a huge month, and it seems the pace of innovation and new developments individual pathology is increasing at a breakneck speed. This month's recap features updates on AI Co-development partnerships, FDA approvals, acquisitions as well as Imogen's thoughts on the recent USCAP meeting in Baltimore. Imogen joined Signify Research in 2018 as part of the Healthcare IT team. During her tenure Imogen has completed studies on digital pathology, LabIT and the use of AI in drug development, expanding Signify Research’s diagnostics and life sciences business coverage.

In this episode we discuss the enterprise pathology platform and how it is so much more than image management. “It’s where work gets done and data lives,” according to Krishna Bala of Proscia. We discuss the components or steps involved in digital pathology workflow. How do we make it all seamless? What is the appropriate level of pathologist involvement in the design and implementation of such systems? How can software engineers acquire domain expertise? What does integration mean and how can we incorporate exciting new AI tools into our daily practice? We discuss the benefits of an open platform and why our guest thinks this model will ultimately win out. Krishna Bala is currently Sr. VP of Engineering at Proscia, a leading provider of digital and computational pathology solutions. In this role, he leads the development of Proscia's Concentriq enterprise pathology platform, which is used by leading life sciences organizations and top diagnostic laboratories. Krishna is an experienced healthcare technologist with more than 20 years of experience in software development, data engineering, and AI/Machine-Learning. He is also an entrepreneur with several successful exits including an IPO as CTO/Founder. Krishna has a Ph.D. in Electrical Engineering from Columbia University in New York.

Today we dive into a field that hasn't existed until very recently - ethics in AI and digital pathology. What is ethics and how is it relevant in digital pathology? We all want to do the right thing, don't we? Maybe easier said than done? Do we even have a working definition of AI that people can agree on? We discuss a framework for ethics, incorporating such principles as fairness and inclusiveness, transparency, and algorithmic bias to name a few. What are the risks of artificial intelligence for pathologists, either real or imagined? Dr. Chhavi Chauhan is Director of Scientific Outreach at the American Society for Investigative Pathology, a Program Manager for the Women in AI Accelerate & Raise Program, and currently serves on the Boards for 8 different mission-driven organizations in the spheres of scholarly publishing, digital pathology, AI Ethics, & youth education. She is a former biomedical researcher, expert scholarly communicator, and a sought-after mentor in the fields of scientific research, scholarly publishing, and AI Ethics, especially for women and minorities. She is a thought leader, a renowned international speaker, and a strong advocate for equitable and accessible healthcare. She was named in the AI Makers 150 AI & Analytics Leaders & Influencers 2021 List, the 100 Brilliant Women in AI Ethics 2022 list, the Top 100 Women of the Future 2023 List, and was listed as a Finalist for the AI in Researcher Award '23 from Women In AI.

Lisa-Jean Clifford is Chief Operating Officer and Chief Strategy Officer at Gestalt Diagnostics. We discuss parallels between pathology and radiology in their digital journeys, the steps involved in going digital, how to keep the various stakeholders engaged and enthusiastic. We posed the question: “ Have we finally made the business case for digital pathology?” Lisa-Jean tells us about the user experience for pathologists in the digital environment and how many of her clients are having a faster more streamlined experience than with glass slides. We discuss the promise of new technologies in digital pathology and how in many ways, digital pathology is a fresh start for pathology. For more than 2 decades, Lisa-Jean Clifford has been a noteworthy leader in the high-tech healthcare solutions space. Her passion for making a positive impact on the lives of patients through technology can be traced back to her tenure at McKesson and IDX, now GE Healthcare, where she served in vital business development and marketing roles and to Psyche Systems, an LIS solution provider, where she was the CEO for eleven years. Now, recognized as an industry expert, she actively participates in numerous boards including the Association of Pathology Informatics and MLO’s Editorial Advisory Board. She is widely published in many top laboratory publications and noteworthy news sources, such as Forbes, CAPToday, Medical Laboratory Observer, and Health Data Management. Also, she is a highly sought-after speaker and focuses on delivering valuable content in critical areas such as lab automation including software and interoperability, digital pathology, AI in pathology, lab informatics, oncology, and women’s health.

This episode with Dr. Ken Bloom of Nucleai, we examine the beginnings of telepathology, which led to what we now know as digital pathology in the 1980s. We trace the journey to now, focusing on seminal events in the industry, such as computational pathology, computer-assisted image analysis, the development of CPT codes, the importance of the TCPC split, particularly in the reference lab setting, We also discuss the democratization of immunohistochemistry in connection with digital pathology and touch on recent developments in the assessment of tumor heterogeneity, AI algorithms, and spatial analysis. Additionally, we explore the role of pathologists in the era of precision medicine, and the potential for integration of pathology with radiology. Dr. Kenneth J. Bloom is currently the head of pathology at Nucleai. He has more than 35 years of clinical experience in pathology, oncology, telemedicine, and bioinformatics. Dr. Bloom previously served as the Chief Medical Officer at Invicro and Ambry Genetics. He was also President and Head of Oncology and Immunotherapy for Human Longevity Inc. He played an instrumental role in designing the business strategy that grew Clarient from a startup with no revenue to its acquisition by GE. He oversaw the development of hundreds of laboratory-developed tests, including those using IHC, ISH, Flow Cytometry, and Molecular methods. Dr. Bloom spent 15 years at Rush Medical College, where he held various titles, including Director of Laboratory Operations and Chief Information Officer of the Rush Cancer Institute

We know that there are certain tasks pathologists are often not very good at or may prefer not to do, such as counting cells or estimating tumor volume. Why not free them up from these tasks and allow them to focus on other areas where they can add more value? As technology accelerates and drug discovery quickens, there are more and more studies being conducted and fewer pathologists available to participate. What if we could automate some of these processes to alleviate the burden on pathologists? At the heart of clinical research, particularly in oncology, is the patient specimen, usually in the form of a paraffin block. What if we could reimagine the way we unlock the precious DNA and RNA from the paraffin block? What if researchers could view digital images of HD sections and select ones that meet their precise needs for a study before the blocks even arrive in their lab, getting exactly what they want and saving months of effort? Jon Wetzel, COO of Trimetis, is a researcher at heart, with over 24 years of experience in the life sciences and 20 years of management in startup biotech companies. He has created several companies, most recently co-founding FoundationBio, which is now part of TriMetis. Jon has served in academia and senior roles in the industry with the University of Michigan, UCLA, Genelogic, Rosetta Inpharmatics, Asterand, and AdeptBio. Jon holds several certifications from the University of Michigan for Lean and Six Sigma and is a Certified Six Sigma Black Belt. We discuss computer-assisted pathology and the suite of software tools that Jon and the team at TriMetis have been developing to accelerate progress in the biospecimen and tissue-based research field.

What does the CRO of the future look like? In diagnostics we seem to be inundated with more platforms, more analytes more “-omics” and more pathways. How do we make sense of it all? What is the future of multi-omic analysis and what role will digital pathology play in understanding biological pathways, clinical trials, multi-omics and the development of companion diagnostics? Christopher Ung, Chief Scientific Business Officer at CellCarta, has 22 years of experience in the field of digital pathology. He has made a significant impact by leading innovative solutions in the realm of companion diagnostics. He led the development of HerceptTest, and in 2009 built and connected pathology labs in four different countries with a digital pathology system. Christopher 's passion for digital pathology stems from a belief in the potential for technology to revolutionize the way pathology is practiced. He is particularly interested in the application of machine learning and artificial intelligence in digital pathology to improve the accuracy of developing and interpreting high complexity and high-density biomarkers for clinical trials and companion diagnostics. In addition to what the CRO of the future will look like, we discuss the role of digital pathology in clinical trials, multi-omics and the development of companion diagnostics. Will digital pathology play a supportive role, or will it be the centerpiece?

What is the state of the industry in 2023 in terms of driving towards unified file formats? Is middleware or software to bridge between various components and file formats still necessary and if so for how long? Why do we even have different file formats? Is it a feature or a bug? Rudy Hovelinck is the CEO of Pathomation, where he directs the company efforts to deliver high quality universal digital pathology software for use in education and biomarker training, life science research and routine diagnostics. His lifelong ambition is to launch products that make a true difference in cancer patient care. We're going to be talking about unified file formats or the lack thereof; How middleware serves to bridge the gap between various components in the digital pathology pixel pathway; What is involved in regulatory certification of software products in digital pathology and how it benefits customers; What steps are needed in achieving various regulatory certifications such as CE IVD or FDA clearance; What are the risks involved in embarking on such an endeavor and what advice Rudy would have for startups or other young companies seeking to develop software products in a regulated environment.

“We shall not cease from exploration and the end of all our exploring will be to arrive where we started and know the place for the first time” - TS Eliot. Is it possible to predict molecular biomarkers from H&E sections through deep learning and computer vision? After all the Hematoxylin and Eosin section was one of our first tools in our arsenal. Molecular diagnostics came center stage in the 1990s and 2000s. Can we know can we now go back to the H&E and predict the molecular features? Our guest is Heather Couture of Pixel Scientia, where she accelerates machine learning projects for pathology startups. She has a PhD in Computer Science and has published in top-tier computer vision and medical imaging venues. She is the host of the Impact AI Podcast and writes regularly on LinkedIn, for her newsletter Pathology ML Insights, and for a variety of other publications. We're going to be talking about artificial intelligence and computer vision in digital pathology. First of all, what do we even mean by artificial intelligence? What is the difference between AI, a computer program, or simply just crunching large amounts of data? How do we develop tools for digital pathology; what are some of the challenges and pitfalls? And yes the “V” word - what do we mean by validation? How do we go about validation in the digital era? And finally, what about those pesky preanalytical factors? Will it even be possible to develop new tools without standardizing or accounting for variability in tissue processing, staining, and scanning?

Amidst this digital transformation in pathology, it’s not only the review of histologic sections that is going digital and moving online, but practically everything else is too. What does this mean for the future of publishing and pathology education with the advent of online content and delivery mechanisms? Our guest is Jason Hornick, MD, PhD, Director of Surgical Pathology and Immunohistochemistry at Brigham and Women's Hospital, Professor of Pathology at Harvard Medical School, a pathologist with expertise in soft tissue tumor pathology, gastrointestinal pathology, and diagnostic immunohistochemistry. He is the Editor-In-Chief of the 5th series of the AFIP Atlases of Tumor and Non-tumor Pathology. Dr. Hornick serves on 14 editorial boards, including the American Journal of Surgical Pathology and Modern Pathology. He is dedicated to the advancement of diagnostic surgical pathology, and teaching approaches to diagnostic pathology to trainees and practitioners We’re going to be talking about the mission and history of the American Registry of Pathology, the publishers of the beloved fascicles atlases of tumor and non-tumor path now in its fifth series. What is the future of publishing going to look like with the advent of online content which can be updated much more frequently than the traditional 5-to-10-year cycle of publishing hard copies of books? What does online content social media and other forces mean for peer review and scientific authority? And what is the future of education going to look like not only for pathology trainees but also education for all pathologists?

One of the biggest pieces of news we've gotten in 2022 is the announcement of new CPT codes from the American Medical Association specifically for digital pathology. What are CPT codes? Why should we care? How will these new codes help us to elevate the practice of anatomic pathology and allow us to more concretely articulate a value proposition for digital pathology? Our guest is Nathan Buchbinder, Chief Product Officer and cofounder at Proscia. We discuss the new CPT codes and much more. We get a current lay of the land for digital pathology in mid-2022. How far have we come in the past five years or so? How far have we come in the past year - which has seen dramatic changes and acceleration in many areas. How do the US and Europe differ in adoption and outlook and what are some continuing barriers to the adoption of digital pathology?

Conquering cancer through Artificial Intelligence is the goal of our guest this week on Digital Pathology today. We're talking with Brandon Suh, MD, CEO of Lunit, a South Korean company creating applications utilizing Artificial Intelligence in both digital pathology as well as radiology. Lunit stands for “learning unit,” which is fundamental to the company's philosophy which embodies the belief that they can learn just about anything and is foundational to the Artificial intelligence, which involves continuous learning. The company has developed algorithms focusing on disease screening in the areas of mammography and chest X-ray in radiology and predictive and prognostic markers in digital pathology - in particular an AI based algorithm for immunotherapy, which outperforms the current standard of care. Lunit is looking to capitalize on the growing trend of Artificial Intelligence in medicine.

As we kick off this third season of digital pathology today our guest is Dr. Kevin Sandeman, from the Region Skane in Sweden, who is going to be taking us through their digital transformation. The Region Skane covers a population of over 1.4 million people, involves four health care systems including two academic and two community centers. The caseload is over 110,000 cases per year - generating over 680,000 scanned slides. This is a wonderful story, and the benefits are maybe not what you would expect. In addition to the obvious benefits of not having to he tethered to a microscope, according to Dr. Sandeman, the number one benefit resulting from the digital transformation is “Peace of Mind.” The departments in the region enjoyed much higher quality in terms of histologic preparations and output, enhanced engagement and understanding among the histotechnologists, reduction of hystertechnologist FTE requirements and complete elimination of the need to work overtime. Turnaround time for case reporting has dropped an astounding 33% and clinician satisfaction is remarkably increased. We also talked about some of the challenges in adopting the digital workflow not to mention the IT infrastructure requirements and storage demands but at the top of the list appeared to be the initial pathologist resistance to adopting the digital workflow.

The digital transformation in pathology is well underway but what kind of opportunities does this present to us? We've heard all the buzz words such as machine learning artificial intelligence and heard all the hype about enhanced workflows and making pathologists’ lives easier. What is the future practice of pathology going to look like? Our guest is Beatrice Knudsen, MD, PhD, Medical Director of Digital and Computational Pathology at ARUP Laboratories, as well as Professor of Pathology at the University of Utah. Dr. Knudsen has built a program that integrates histopathology, multiplex tissue staining, digital image analysis, as well as computational pathology. She is applying this approach to close the gap between laboratory research and clinical care and to develop novel algorithms for diagnosis, prognosis and the treatment of patients.

They're coming - AI and machine learning algorithms in digital pathology. How do we go about assessing the robustness and suitability of these new tool for use in actual clinical practice? Our guests are Dr. Angelique Levi, Associate Professor of Pathology and Vice Chair and Director of Pathology Outreach Services and Dr. Sudhir Perincheri, Assistant Professor of Pathology and Director of Digital Pathology, both from Yale School of Medicine. We're talking about how new tools are going to be incorporated into clinical practice, and the impact of these new tools in various practice settings, such as academic medical centers, community outreach, and private practice. What does this mean for the training of the next generation of pathologists? We're only human, after all, but what about machine algorithms? What level of mistakes or "misses" is allowable? And what if these tools are too sensitive, could they actually slow us down and make life more complicated for us?

Too many systems or components in a pathology workflow adds complexity and cost. How can we create an elegant end to end solution to enhance workflows, while decreasing both complexity and costs? Our guest is John Wirthlin, CEO of Lumea, a company reimagining pathology - beginning and ending with the patient. We discuss the end-to-end solution in digital pathology. One of the promises of digital pathology is making the pathologist’s workflow more streamlined and more efficient. But can we bring the Laboratory Information System (LIS) into the clinic and improve the workflow flow for our clinician colleagues as well. How can we improve the tissue handling or preanalytic phase of testing? It's often easy to forget who the customer is. By utilizing enhanced workflows, can we improve satisfaction for the clinician, who is ultimately treating the patient?

Amidst this digital transformation in pathology the talk seems to be largely centered around whole slide imaging of H&E-stained tissue sections. But what about cytology? Why don't we hear much talk about digital cytology, and what are some of the unique challenges in cytology in terms of going digital. Our guest is Michael Quick, Vice President of Research and Development and Innovation at Hologic. We discuss the history and evolution of cervical cancer screening all the way from pap smears to thin prep to incorporating digital pathology and image analysis in the process. Will we finally be able to say goodbye to the light microscope? And what are some of the parallels and lessons learned comparing cervical cancer screening by cytology in pathology to breast cancer screening by digital mammography in radiology.

What is going to surprise us in digital pathology in big ways and in small ways? How can seemingly small changes make a big impact in what we do as pathologists and in the lives of patients? How are we going to make use of the large datasets that we will inevitably be generating through the widescale adoption of digital pathology? Our guest is Louis Culot, General Manager for Genomics and Oncology Informatics at Phillips. We're going to be talking about the current landscape of digital pathology in 2022, where we've been in the past 20 years and even earlier, and the impact of the COVID-19 global health emergency on the acceleration of the adoption of digital pathology. And what is the future of integrated diagnostics, incorporating digital pathology radiology and molecular diagnostics.

It's easy to get caught up in the hype surrounding digital pathology. But what is actually involved and going digital? What are the steps involved? We know about scanners and viewing images, of course. But what other pieces of software might be necessary or helpful? Coleman Stavish is co-founder and CTO at Proscia, a leading provider of digital and computational pathology solutions. At Proscia, Coleman works with a team of engineers and scientists who develop enterprise software in use at leading laboratories and large biopharma companies around the world, as well as novel image classification. We're going to be talking about workflows in digital pathology and the importance of the image management platform. What are the considerations in going digital, how can all of our software work together and how can we truly realize the promise of digital pathology by incorporating AI algorithms and other tools?

NVIDIA is involved in computer graphics, artificial intelligence, computing and processors across variety of industries including gaming, entertainment, finance, and health care. What are the commonalties of all these industries and what lesson from other fields can we apply to healthcare? Our guest is Craig Rhodes EMEA Industry Lead - AI for Healthcare and Life Sciences at NVIDIA. There is the perception that healthcare lags other industries in terms of AI applications. Is this true or is it a misconception? How is AI changing healthcare now and for the future How can we accelerate the adoption of AI and new technologies in health care? NVIDIA has launched Cambridge-1 - a powerful supercomputer in the UK. We will learn about this and what results we can expect from Cambridge one in the difference this will make in healthcare in the lives of patients.

Our guests are Dr. Garth Bryson Consultant Pathologist and Clinical Director for Laboratory Medicine at the NHS Greater Glasgow and Clyde and Dr. David Harrison, Professor of Pathology from the University of Saint Andrews, and both from ICAIRD - the Industrial Center for Artificial Intelligence Research and Digital Diagnostics a program matching AI solutions and research with health and social care priorities across Scotland. We talk about the long journey of implementing digital pathology in a large health care system, barriers to adoption of digital pathology, the promise of artificial intelligence, the business case for digital pathology – have we finally been able to articulate one? And finally, we discuss our guests’ experience so far in creating a digital slide sharing network throughout Scotland.

Our guest is one of the giants in the field of digital pathology and image analysis. And if he has seen further than others, he will tell you, it is because he was able to stand on the shoulders of giants as well. His unique multidisciplinary approach has allowed him to breakdown silos and see across the often-artificial barriers and distinctions imposed by academic disciplines and patient treatment paradigms. We're talking with Professor Anant Madabhushi, Director of the Center for Computational Imaging and Personalized Diagnostics and Professor of Biomedical Engineering, Radiology, Pathology Urology and Radiation Oncology at Case Western Reserve University. We discuss silos in academic departments and disease states and how looking beyond these limitations can propel progress. What exactly is image analysis, what if we've been able to do with it so far and what predictive and prognostic information can we unlock from histologic features. And finally, how can an image analysis and non-tissue destructive computational and AI powered methods help to democratize access to care and lead to better outcomes for patients across the world.

What have we been waiting for? What's taking so long? Much of the technology surrounding digital pathology has been with us for over 20 years. After fits and starts and initial excitement we've been left with disappointment in the past ten years. But now, it seems like the tide is turning and the digital transformation is here. Our guest is Richard Lash, MD, Chief Medical Officer from Lumea, a company re-imagining pathology by developing a comprehensive end to end workflow. Dr. Lash has had a long career as a pathologist as well as holding leadership positions in addition to Lumea at several prominent organizations including Inform Diagnostics, Ameripath and Mount Sinai Medical Center. We're going to be talking about how the lack of a cohesive business for digital pathology, lack of a vision to integrate exciting new technologies into everyday workflows has hindered the adoption of digital pathology; what has changed and why now with compelling new technologies including artificial intelligence, we can finally begin to develop and incorporate end to end solutions that can enhance pathologist performance and improve outcomes for doctors and patients.

We've all seen it in science fiction movies and maybe somewhat in consumer tech culture with things like Google glasses, or Pokémon GO. Augmented reality – an enhanced version of the physical world through the use of digital visual elements - does it have a role in digital pathology? Gabe Siegel is the CEO and co-founder of Augmentiqs, a company that develops augmented reality and digital pathology capabilities for the existing microscope. Prior to starting Augmentiqs, Gabe worked for multiple medical device and digital pathology companies, focusing on marketing strategy and communications. Gabe developed the concept for augmented reality microscopy & microscope-based digital pathology. We discuss what exactly is augmented reality? What are the benefits - can it really save time and money?

In this digital transformation of pathology, much of the focus is, of course, on the imaging of histologic sections or glass slides, which were once viewed under the microscope. It's often easy to forget that the examination of the specimen begins much earlier in the process - in the gross room or even in the operating room. Our guest is Vikram Butani, CEO and founder of Kubtec, whose passion is developing transformative specimen imaging, and specimen radiography systems that enable medical professionals to provide the best quality of care for their patients. Kubtec has developed range of advanced specimen radiography systems provide high resolution specimen X-ray for the biopsy suite, the operating room, the pathology gross room and the morgue. In addition, KUBTEC Specimen Radiography Systems include proprietary workflow management tools to help reduce turnaround time and labor costs. We're going to be talking about the history of Kubtec from humble beginnings, what the digital transformation of radiology has meant for imaging in other parts of the hospital - specifically the pathology gross room and the OR. We discuss the critical role of the pathologist’s assistant in the diagnostic process, the value of specimen imaging and how it can impact cost, time and efficiency. And finally, what does the future hold? and how will 3D imaging enhance what we do and ultimately bring better care to patients?

The big trend in oncology over the past few years has been immunotherapy. this trend is converging with the digital transformation we are undergoing in pathology we seem to be at the crossroads of immune-oncology, digital pathology, image analysis, artificial intelligence, and the increasing ability to Multiplex. Our guest is Keith Wharton Jr., MD, PhD from Ultivue, a company looking to reveal actional biology through multiplex immunofluorescence to make immunotherapy a reality for patients with cancer. Keith is a board-certified anatomic pathologist with diverse achievements in research, drug and diagnostic development, and clinical investigation. He leads Ultivue’s Pathology and Biomarker Analytics team. We’ll be discussing what is the need for multiplexing. How much information can Multiplexing add above and beyond standard methods. When do we reach the point of diminishing returns? what are some challenges to implementation and risks of complexity and system failure? In addition, we'll talk about specific applications for immunofluorescence and multiplexing versus the current state of the practice including immunohistochemistry and quantifying tumor infiltrating lymphocytes on good old-fashioned H&E sections.

The Armed Forces Institute of Pathology (AFIP) was in existence from 1862 to 2011. Many of us in pathology know it as the publisher of the “tumor fascicles” or the Atlas of Tumor Pathology series, originating in 1947, as well as a center of consultation and tissue repository unparalleled in the world. The AFIP was reborn as the Joint Pathology Center (JPC), whose mission is to deliver cost-effective, high-quality, multidisciplinary pathology consultation and education; and preserve, modernize, and grow the nation's oldest tissue repository to promote biomedical research. The JPC is home to the largest collection of human pathologic specimens in the world, unparalleled in size, age, and diversity. The challenge now is to digitize this collection. In this episode of Digital Pathology Today, our guests are COL Joel Moncur, Director of the Joint Pathology Center and Katie Olson, Acting Director of the Defense Digital Service (DDS). Dr. Moncur became the Director of the JPC in August of 2018. His priorities as Director include digitally transforming the JPC repository and ethically using the data to develop collaborative artificial intelligence algorithms that can lead to new insights into specific disease states or clinical scenarios. At DDS, Katie Olson oversees products and operations for the 80-person rapid-response team working within the Office of the Secretary of Defense. As a Highly Qualified Expert (HQE), Olson brings both her government and private sector experiences to bear on these important initiatives. We discuss the history of the AFIP through its disestablishment in the early 2000s and its rebirth as the JPC. What is DDS and what types of projects do they work on? The massive undertaking which many people are excited about is the project to digitize the JPC collection. We’ll learn about the size, scope and goals of the project. And, of course, artificial intelligence (AI) is a very hot topic - particularly in digital pathology. How will AI be incorporated in this project?

We hear that multiple file formats or perhaps, more importantly, lack of a uniform file format seems to be a big issue in digital pathology. Why is this? What do we even mean by a file format? And will we be able to overcome this barrier on the road to full scale adoption of digital pathology? Yves Sucaet, a PhD in Bioinformatics, has a research background in systems and network biology. In 2012, he became intrigued with the idea of applying bioinformatics algorithms to virtualized microscopic material (whole slide images). Back in Belgium, he went on to co-found Pathomation, together with Dr. Wim Waelput and Dr. Mark Kockx. The mission of Pathomation is to provide software (middleware) for digital pathology, allowing any organization to efficiently implement any digital pathology workflow imaginable. We discuss why there are multiple file formats and the challenges this causes. Do different types of applications necessitate different file formats? (i.e. 2d vs. 3-d imaging, H&E staining vs. fluorescence?) How does evolving technology and new vendor specific applications create problems? And of course, DICOM seems to be the most talked about format. Why has it become the standard in radiology but not pathology?

Imagine a world without staining… in the excitement of digital pathology we often forget that we're using with a legacy system of staining tissue pink and purple, which is time-consuming and tissue-destructive. There's got to be a better way. Our guest is Dr. Gideon Ho, who co-founded HistoIndex to develop and commercialize the world’s first fully automated, quantitative, stain-free imaging system. Under his direction as the CEO, the laser-based stain-free imaging system has been successfully implemented in academic, clinical and commercial research centers in major universities, hospitals and research facilities around the world. Dr. Ho has multiple patents and journal publications in medical imaging, lasers and optics to his credit. We’re going to discuss the promise of Stain-free digital pathology and the technologies developed at Histoindex. What is multiphoton technology? What is second harmonic generation (SHG)? The clinical applications Histoindex is focusing on first is NASH – nonalcoholic steatohepatitis. What is NASH? what is the unmet need? How does it affect society. What are the diagnostic challenges?

What is The State of the Practice of digital pathology as we enter 2022? Where are we in terms of integrated workflows, predictive and prognostic algorithms based on H&E morphology, and incorporating AI into workflows or diagnostic assistance? Perhaps most pressingly, have we finally made the business case for wide scale adoption of digital pathology? Our guest is Michael Feldman, MD, PhD, Professor of Pathology and Laboratory Medicine at the University of Pennsylvania as well as Vice Chair for Clinical Services and Director of the office of Pathology Informatics. We're going to be talking about all these things and in addition perhaps a perspective on digital pathology in an academic setting. Will digital fellows become a reality - artificial intelligence enabled machines that will organize, prepare, preview, maybe even diagnose cases and prepare the report for sign out? We’ll discuss what image analysis and computational algorithms mean for the diagnostic acumen of trainees in the next generation of pathologists.

In addition to interpreting patient biopsies and signing out cases, pathologists perform a wide variety of functions - including intraoperative consultation or frozen section, presenting cases at tumor boards or other conferences, doing procedures, or assessing the adequacy from image guided biopsies. This is done in a wide variety of practice settings. Many times, it's done over a very large geographical area where the physical presence of a pathologist may be impractical or highly inconvenient. Our guest is Hannah Gilmore, MD, Chief of the Division of Anatomic Pathology at University Hospitals Case Medical Center in Cleveland. We’re talking about the unique challenges and pain points pathologists face in the large hospital system covering a large geography. How can digital pathology help alleviate some of these challenges? What are specific applications that, if implemented, would give us immediate benefit? How can digital pathology make pathologists more productive - particularly in areas not strictly related to primary diagnostic activity?

We welcome back Professor Hamid Tizhoosh from KIMIA Lab and now of the Mayo Clinic. Dr. Tizhoosh was one of our most popular guests from last season. We talked about artificial intelligence, but it seems like we barely scratched the surface. AI is such a hot topic - so before we go any further, we’ll go back to a rough definition of Artificial Intelligence. In Machine learning a theme we keep hearing about is supervised vs. unsupervised learning. What does that mean and why is it important? The concept of validation is critically important in pathology and laboratory medicine. What does this mean in the context of Artificial intelligence? What is image archiving? And how does image search work? We discuss the difference between tissue representation and patient representation and why this distinction will be critical for the future of digital pathology and moving precision medicine forward.

We all want to do the right thing - but how do we know what that is? What is ethics and what is the difference between ethics and the law? Our guest is Brian Jackson, MD, medical director of IT, business development and support services at ARUP, as well as associate professor of Pathology and adjunct associate professor of biomedical informatics at the University of Utah. We're talking about the foundational principles of ethics in science and medicine. What are the limits of informed consent as it applies to developing new products utilizing patient data? Is technology evolving faster than our ability to regulate it? How do we get comfortable with and regulate algorithms and devices that appear opaque or black box? And what will the future hold as we increasingly have the ability and responsibility to develop these great new tools to help patients?

We keep hearing that one of the promises of digital pathology is the ability to develop AI based algorithms and tools that will allow us to do things that we never have before. This gets many people excited in the industry - particularly computer scientists, programmers and machine learning specialists - but what about the role of the pathologist? How can we the keep pathologist engaged in the development of AI algorithms and digital pathology workflows? One of the things that has hindered surgical pathology (maybe just in perception) is lack of standardization and reproducibility both in terms of molecular and IHC testing as well as interpretation of H&E images. Part of the promise of digital pathology is that we could eliminate this variability or subjectivity. But wouldn't pathologist developing their own algorithms recreate similar problems? Rish Pai, MD, PhD is Professor of Laboratory Medicine & Pathology and serves as a Consultant Pathologist at the Mayo Clinic, Arizona and Associate Chair of Research. Dr. Pai has lectured nationally and internationally on many aspects of gastrointestinal and hepatic pathology and has directed multiple GI and Liver CME courses. He is Past-President of the Rodger C. Haggitt Gastrointestinal Pathology Society. Dr. Pai is a regular reviewer for numerous pathology and gastroenterology journals and serves on the Editorial Board of the American Journal of Surgical Pathology. He has published 130 articles and written multiple book chapters in the fields of gastrointestinal and hepatic pathology. Pathology is a unique specialty. Much of what we do becomes a “permanent record,” and yet there remains an inherent subjectivity and imperfection. Do we have a special obligation to get it right?

Our guest is Michael Valante, Global Business Leader for Dell Technology’s Healthcare Division and Dell’s Chief Technology Officer for Digital Pathology, where he is a subject matter expert in the areas of enterprise imaging and pathology informatics. Mike is deeply focused on the healthcare industry and the intersection of medical imaging and information technology. We’re going to discuss lessons learned from Dell’s involvement in IT infrastructure throughout healthcare and disciplines outside of pathology. Digital Pathology, as a field is, moving incredibly fast. It seems like we’ve hit an inflection point in the past year. We’ll discuss the trajectory and the velocity of the digital transformation. Pathology certainly has different stakeholders – lab managers, hospital administrators, IT staff, the pathologists, other physicians. Roughly what are the concerns of each of these varied groups of stakeholders? And what is Dell’s approach to balancing both the technical and clinical aspects of digital pathology?

Immunotherapy and immune-oncology have become such hot areas of exploration in the past few years. We're going to explore the forces which have coalesced to make this a reality. Our guest is doctor Katir Patel, PhD a scientist with a keen interest in immunotherapy and diagnostics. We're going to be exploring the role of digital pathology in immune-oncology. How will we use the tools in our arsenal, such as image analysis, multiplexing, artificial intelligence and even good old-fashioned H&E sections to bring pathology to the forefront of immune-oncology.

There's so much excitement and hype around AI, but what does it mean for the practicing pathologist? Workflows seem very fragmented and antiquated, particularly in this new era of digital pathology. Can we add value in the pre-analytic or specimen handling phase and also in the post-analytic or reporting phase? Our guest is Hillel Kahane, MD, founder of Starpath diagnostics, a renowned and well-respected board certified uropathologist with over 28 years of experience in the commercial USA laboratory industry. He has personally signed out over 1,000,000 prostate needle biopsies throughout the USA serving well over 6,000 urologists and radiation oncologists nationwide. Dr. Kahane has served as the Chief Medical Officer & Director of Uropathology at Acupath Laboratories, Medical Director of Bostwick Laboratories, and Executive Medical Director, Uropathology DIANON Systems- LabCorp. There seem to be many different use cases for AI. We’re going to discuss potential to enhance workflows, quality assurance application and primary diagnosis. Pathologists have long been changed to their desks and microscopes. What is the future of remote sign-out? Pathologists are very good at what they do, but how can we improve upon conventional light microscopy? And can come up more innovative ways of capturing the value we have created?

There is so much rich information imbedded in the histologic and molecular features of tissue sections which can be extracted through digital pathology. We seem to be at the convergence of AI-powered image analysis and precision medicine. Our guests are Jonathan Daniels and Ori Zelikov, MD from Nucleai, who are committed to bringing the power of spatial biology to reality by providing pharmaceutical companies and clinicians with AI- powered image analysis applications. We're going to be talking about the promise of digital pathology and image analysis and how these technologies can be leveraged in drug discovery and ultimately patient care. What does the future hold and how a higher throughput of patient biopsies through a digital pathology system will result in a new age of information and discovery analogous to the revolution we have seen in sequencing the human genome. We will also talk about the rich ecosystem in med-tech in Israel and what makes Nucleai unique in its makeup and approach.