Sunday, November 3
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8:00 AM–4:00 PM
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Exhibitor Registration + Installation (Regency Foyer)
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10:00 AM–7:00 PM
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Attendee Registration (Regency Foyer)
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11:00 AM – 5:00 PM
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Preconference Workshops + Companion Meetings
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5:00–7:00 PM
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Opening Reception (Expo Hall)
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Monday, November 4
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7:00 AM–7:00 PM
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Conference Registration (Regency Foyer)
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7:30–8:30 AM
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Breakfast Workshop: Sponsored by Epredia
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8:30–9:00 AM
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Refreshment Break & Visit with Exhibitors (Expo Hall)
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9:00–9:30 AM
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Welcome + Opening Remarks | Michael Quick, DPA President
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9:30–10:00 AM
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DPA 2030: Looking Ahead
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10:00–11:00AM
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AI in digital pathology: Closing the gap between the research lab and the clinic
Anne L. Martel, PhD, Professor, Department of Medical Biophysics, University of Toronto; Senior Scientist, Sunnybrook Research Institute; Tory Family Chair in Oncology
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11:00–11:45 AM
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Global Allied Society Panel
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11:45 AM–12:45 PM
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Lunch & Visit with Exhibitors (Expo Hall)
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| 12:45 – 1:05 PM
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| Going Digital - Roadmap for Implementation | Bryan Dangott, MD, Mayo Clinic |
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Moving beyond data bias: Integrating AI ethics in computational pathology for improved patient care | Chhavi Chauhan, PhD, ASIP; Chris Garcia, MD, MS, Mayo Clinic |
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1:10 – 1:30 PM
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| Digital Pathology Implementation in A multi-site Academic Hospital Reflections and Lessons Learned | George M. Yousef, MD PhD FRCPC MSc, University Health Network |
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Foundation Models: A Deep Dive into Their Applications in Pathology | Kingsley Ebare, Mayo Clinic |
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1:35 – 1:55 PM
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| Quality Processes in Clinical Digital Pathology Operations at Memorial Sloan Kettering Cancer Center | Orly Ardon, PhD, MBA, Memorial Sloan Kettering Cancer Center |
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Generative AI in Anatomical Pathology: Today’s Innovations and Tomorrow’s Possibilities | Ehsan Ullah, MBBS, MPhil, PhD, Health New Zealand, Auckland |
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2:00–2:20 PM
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| Infrastructure for Real-Time Integration of Digital Tools into the Clinical Ecosystem | Luke Geneslaw, MBA, Memorial Sloan Kettering Cancer Center |
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Adversary-Robust Graph-Based Learning of WSIs | Nasim Yahyasoltani, Marquette University |
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2:25 – 2:45 PM
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| Ergonomics for Pathologists in the Digital Age: What Can We Learn from Radiologists? | Les R. Folio, DO, MPH, ACHIP, CIIP, Society for Imaging Informatics in Medicine |
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A comprehensive AI education framework based on experiential learning | Mark D. Zarella, PhD, Mayo Clinic |
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2:45–3:30 PM
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Refreshment Break + Visit with Exhibitors (Expo Hall)
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| 3:30 – 3:50 PM
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Informatics and Pathology Innovation Highlights of the College of American Pathologists | Marilyn M. Bui, MD, PhD, Moffitt Cancer Center; Monica E. de Baca, MD, Pacific Pathology Partners; Joe Saad, MD, Methodist Health System/UT Southwestern Medical Center
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Opportunities and challenges in refining grading of neuroendocrine tumors using digital pathology | Monika Vyas, MD, Beth Israel Deaconess Medical Center |
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| 3:55 – 4:15 PM |
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| End-to-end AI-enabled automation of pathology accessioning | Eish Maheshwari, MS, Stanford University; Alexander S. Kwon, MS, Stanford University |
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FROG: an unsupervised deep learning framework for scalable and robust end-to-end IHC quantification | Wenchao Han, Mayo Clinic |
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| 4:20 – 4:40 PM |
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| Digital and Computational Cytology: Applications, Guidelines and Future Directions | Zaibo Li, MD, PhD, MBA, The Ohio State University Wexner Medical Center |
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Extraction of Discrete Information from Pathology Reports Using Local and Private LLMs | Ghulam Rasool, PhD, Moffitt Cancer Center; Ehsan Ullah, MBBS, MPhil, PhD, Health New Zealand, Auckland |
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| 4:45 – 5:05 PM |
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| DICOM and pathology: it’s a hit, not a myth | Ally D. Brown, MS, Society for Imaging Informatics in Medicine; Thomas J. Crawford, DHA, CIIP, Society for Imaging Informatics in Medicine |
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Multi-expert workflow for image patch labeling: an example in megakaryocyte detection | Ethan N. Okoshi, Nagasaki University Graduate School of Biomedical Sciences |
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| 5:10 – 5:30 PM |
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Digital Pathology Implementation: Addressing Impact on Culture, Teamwork, and Communication | Orly Ardon, PhD, MBA, Memorial Sloan Kettering Cancer Center; Suzanne Dintzis, MD, PhD, University of Washington Medical Center
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Predicting responses to NAC(ypT0) from initial TURBT specimen using Artificial Intelligence | Haoyue Zhang, PhD, National Cancer Institute |
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5:30–7:00 PM
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Networking Reception (Expo Hall)
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7:00–8:00 PM
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Evening Social: Sponsored by Iron Mountain
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Tuesday, November 5
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7:00 AM–3:30 PM
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Conference Registration (Regency Foyer)
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7:30–8:30 AM
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Breakfast Workshop: Sponsored by Roche
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8:30–9:00 AM
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Refreshment Break & Visit with Exhibitors (Expo Hall)
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9:00–9:45 AM
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Opportunities for AI in the academic medical environment
Lee Cooper, PhD, Northwestern University
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9:45–10:45 AM
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Regulatory & Standards TF Update
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10:45–11:30 AM
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Reimbursement TF Update: Setting the Stage for DP and AI Reimbursement
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11:30–12:30 PM
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Lunch & Visit with Exhibitors (Expo Hall)
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| 12:30 – 12:50 PM
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| Deep Zoom Images to Visualize Unsupervised Clustering of Slide Tiles | Dibson Dibe Gondim, MD, University of Louisville |
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PathAssist: Accelerating Dermatopathology Diagnosis with integrated Knowledge Graphs and LLMs | Rajendra Singh, MD, Summit Health; Aneesh Sathe, PhD, Aneesh Sathe Consulting; Anil Parwani, MD, PhD, Ohio State University |
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12:55 – 1:15 PM
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| Lessons from integrating digital pathology into clinical enterprise imaging at Michigan medicine | Mustafa Yousif, MD, University of Michigan |
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Optimizing and evaluating pathology foundation models for both low and high resolution tasks | David Steiner, Google; Saloni Agarwal, Google; Kenneth Philbrik, PhD, Google; Supriya Vijay, Google |
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| 1:20 – 1:40 PM |
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| Histology hide-and-seek: visually navigating latent space clustering for pathology exploration | Phoenix Y. Wilkie, University of Toronto |
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Mutation detection in lung cancer using heterogeneity derived from quantitative pathology features | Yao Nie, Roche Diagnostic Solution |
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| 1:45 – 2:05 PM |
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| Intra-patient Co-registration of Prostate Whole-Mount Histopathology to Magnetic Resonance Imaging | Fatemeh Zabihollahy, PhD, University of Toronto |
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AI-Driven Comparative Study of High-Grade Cell Features in Urine Cytology with Biopsy Correlation | Barbara Crothers, DO, AIxMED |
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| 2:10 – 2:30 PM |
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| Advancing precision pathology: Deep CNN model for forecasting of liver cancer recurrence on WSI | Mohammad K. Alexanderani, MD, Weill Cornell Medicine |
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Advancing Regulatory Science in Digital and Computational Pathology: A Collaborative Dialogue | Jochen Lennerz, BostonGene; Jithesh Veetil, MD, PhD, MDIC; Keith Wharton, MD, PhD, Roche; Brandon Gallas, PhD, FDA |
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2:30–3:15 PM
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Refreshment Break & Visit with Exhibitors (Expo Hall)
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3:15–3:30 PM
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Poster Awards
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3:30–4:00 PM
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DICOM Connectathon Update
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4:00–4:45 PM
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Charting the Path: Navigating Patient Journeys through Digital Transformation
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4:45 PM
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Closing Session | Michael Quick, 2024 DPA President |
