USCAP25

VISIT US AT BOOTH 1001!

Monday, March 24 | 12-1 PM ET

Exhibitor Seminar Room #5

USCAP Exhibit Hall | Boston Convention and Exhibition Center

Separate registration not required - Lunch provided!

Precision Medicine in Pixels

As Digital Pathology and AI continue to advance, innovative tools and opportunities are transforming clinical practice, research, and education. Under the auspices of the Digital Pathology Association (DPA), experts from the academics and industry will highlight the impact of Generative AI in pathology and digital pathology-based AI as a predictive and prognostic biomarker for precision medicine. A Q&A session will follow presentations from our thought leaders. Attendees are welcome to meet DPA’s leadership to explore networking and professional development opportunities.

Learning Objectives:

Highlight digital pathology base AI as a predictive and prognostic biomarker for precision medicine.
Explore the current literature on the recent advancements in the applications and benefits of GenAI in pathology with a focus on its impact on diagnostic processes, workflow efficiency, education, and research
Discuss the challenges, ethical consideration, and future potential of GenAI in pathology
Showcase the recent accomplishments of the DPA

DPA Highlights | Dr. Junya Fukuoka

Learn about the remarkable achievements of the Digital Pathology Association (DPA) and its transformative impact on modern medicine. The DPA is a driving force in advancing the field of digital pathology, bridging the gap between cutting-edge technology and the critical practice of pathology. DPA achieves this through: promoting best practices, empowering through education, fostering collaboration, advocating for standards, and much more.

New (and potentially better) Options for Pathology Education using DP and AI | Dr. Lewis Hassell

Pathology education has a standardization problem. While board exams and program directors/faculty assessments provide a broad-strokes assessment of competency, we know there are gaps. No two trainees see the same cases, nor even the same core of key diagnostic materials. DP opens the potential to create/curate and administer a standard core of key diagnostic competencies EVERY trainee should be exposed to. Additionally, new diagnostic tests, classifications or other tools are continually being added to the tool chest pathologists are expected to use capably. However, these are often introduced in a manner that does not ensure or verify complete training or competency. DP can help solve that issue. Pathology education globally also has a scalability challenge. With an estimated shortfall of at least 100k pathologists to meet the worldwide demand for diagnostic expertise needed to provide pathology services for those outside the reach of current services, there is a dire need for more pathologists than can be trained using current paradigms, and the training model does not allow ramping up very easily. Virtual training using DP materials holds one key to solving this workforce issue as well. Some of the specific ways that DP and AI can be used to solve these issues will be covered in this talk.

Digital Pathology Based-AI as a Predictive and Prognostic Biomarker to Support Treatment Decisions | Amanda Lowe

Advances in AI-powered digital pathology now optimize therapy selection and outcome prediction, transforming routine Hematoxylin and Eosin (H&E) analysis into a pillar of precision medicine. H&E slides, a cornerstone of disease diagnosis, reveal critical morphological details about tissue and cellular architecture. When digitized and paired with AI, H&E whole slide images unlock unprecedented insights, allowing actionable clinical decisions without invasive and costly testing, reinforcing pathology’s role in personalized medicine.

Generative AI and the Coming Era of AI Agents in Anatomic Pathology | Dr. Faisal Mahmood

Generative AI (GenAI) has the potential to revolutionize the field of pathology, enhancing diagnostic accuracy, efficiency, and personalized treatment. By analyzing vast amounts of data and recognizing complex patterns in clinical pathology, histopathological images, and molecular pathology, AI can augment pathologists’ ability to provide quality patient care. Despite its promising applications, challenges remain in integrating GenAI into clinical practice, such as ensuring data privacy, addressing biases in training data, and maintaining the indispensable role of human expertise in final diagnoses. Ultimately, the synergy between AI and pathologists could transform how diseases are diagnosed and treated. This presentation will highlight a recently published article on GenAI in anatomic pathology, a collaboration by the Digital Pathology Association, the College of American Pathologists, and the Association of Pathology Informatics.

MODERATOR

Marilyn M. Bui, MD, PhD

DPA Past President

Senior Member and Professor of Pathology and Machine Learning

Scientific Director of Analytic Microscopy Core

Moffitt Cancer Center & Research Institute

SPEAKERS

Junya Fukuoka, MD, PhD

2025 DPA president

Professor & Chair, Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences

Chair, Department of Pathology, Kameda Medical Center

Dr. Junya Fukuoka is a professor and department chair of pathology Informatics at Nagasaki University, renowned for his expertise in pulmonary pathology and digital pathology. He has been incorporating digital devices into his lectures and practice for many years, earning high praise from both medical students and clinicians for his engaging and accessible teaching style. With over 270 publications and over 12,000 citations, Dr. Fukuoka is a prolific contributor to his field.

Lewis A. Hassell, MD

Co-Chair, DPA Education Committee

Professor of Pathology

University of Oklahoma Health Sciences Center

Lewis Hassell is Professor of Pathology at the University of Oklahoma Health Sciences Center and former director of Anatomic Pathology. He is a past board member of APF, CAP, and DPA and the past president of the CAP Foundation. Before re-entering academia in 2008, he practiced for 17 years with Dahl Chase Pathology in Maine and for four years in Northern California. Dr. Hassell is keenly interested in developing pathology capacity and diagnostic quality in low-resource settings, leadership development, and practice management issues. To those ends, he recently launched the Open Pathology Education Network (OPEN) to curate and deploy a virtual residency training program for use in developing countries and elsewhere. He is the host of “Sign-out with the Professor” a monthly on-line teaching session covering pathology topics using digital materials, and also has a busy pathology-oriented YouTube channel featuring hundreds of pathology training videos aimed at residents and practitioners. Together with Michael Talbert and Jane Pine Wood, he helped author and edit "Pathology Practice Management: A Case-Based Approach." He is the father of three above-average children and twelve "destined for greatness" grandchildren, all thanks to his eternal companion, Mary Bliss Finlayson.

Amanda Lowe

Chief Commercial Officer

Artera

Amanda Lowe, a recognized leader in digital pathology and AI, serves as the Chief Commercial Officer at Artera. In this role, she drives the company's commercial success by overseeing sales, business development, customer success, marketing, reimbursement, and market access. Before joining Artera, Amanda spent 12 years at Visiopharm, most recently as their Senior Vice President, Customer Success and Managing Director for the Americas. Amanda holds a BA from Michigan State University and the Eli Broad College of Business. Her career in digital pathology began as National Sales Manager at Bacus Laboratories, one of the first companies in the field, which was later acquired by Olympus. In 2009, she founded Digital Pathology Consultants, a consultancy firm providing strategic guidance to commercial digital pathology companies and healthcare, research, and biopharmaceutical organizations. The firm was acquired by Visiopharm in 2012. With over 20 years of experience, Amanda is a respected authority in digital pathology and AI, bringing unmatched expertise and insight to the field.