Presentations are available to members only. To access, please visit the Member Community.
Presentations are available to members only. To access, please visit the Member Community.
Click here to view oral and poster abstracts in JPI.
Click here to view poster PDFs.
Opening Session
Esther Abels, Visiopharm; DPA President
Creating Technologies People Love
Jonathan Cagan, PhD, Carnegie Mellon University
Digital Pathology: Payment Opportunities and Challenges
Jonathan Myles, MD, CAP & Michael Rivers, Roche
Call to Action: Developing interoperable systems instead of closed applications
Steven Hart, PhD, Mayo Clinic
Patient and Public Involvement in Digital Pathology and AI
Bethany Williams, PhD, National Pathology Imaging Co-Operative
Improving disease prediction with patient case metadata from social media
Andrew Schaumberg, PhD, Brigham & Women's Hospital, Harvard Medical School
Unraveling the Regulatory Complexity of Diagnostic Development in a Changing Landscape
Staci Kearney, PhD, Elevation Strategic Development, LLC
Artificial Intelligence Applications in Inflammatory Bowel Disease: Quantifying the Mucosal Microenvironment of Ulcerative Colitis
Archit Khosla, PathAI
Image-based detection of actionable biomarkers using machine learning algorithms
Nurit Paz-Yaacov, PhD, Imagene-AI
Current and Future State of Digital Pathology & Artificial Intelligence
Sylvia Asa, MD, PhD, Case Western Reserve University; Matthew Hanna, MD, MSKCC; Junya Fukuoka, MD, PhD, Nagasaki University; Bethany Williams, PhD, National Pathology Imaging Co-Operative
An AI-based lymph node metastasis detection application improves pathologists’ efficiency
Shaoli Sun, MD, The Ohio State University
Multiple instance contrastive learning for classification and interpretability of pancreatic fine needle aspiration whole slide images
Andrew Sohn, MD, Johns Hopkins Medicine
Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment using deep learning algorithm
Kris Lami, MD, Nagasaki University
Data from 10 European labs: continuous monitoring could improve staining consistency of IHC companion diagnostic biomarkers
Dirk Vossen, PhD, Visiopharm
Looking after patient interests when introducing artificial intelligence into clinical care: UK prostate cancer case study
Margaret Horton, PhD, Paige & Monica Dolton, University of Oxford
Spatial Multi-omics: A new vantage for digital pathology and AI
Jason Reeves, PhD, Nanostring Technologies
What are the rules of engagement? Guidance for collaborations between academia and industry to promote progress in DP & AI
Anil Parwani, MD, PhD, Ohio State University & Liron Pantanowitz, MD, University of Michigan
Reading vs Measuring: The Pathologists' Conundrum
David Rimm, MD, PhD, Yale University School of Medicine
The OPEN Solution: Moving towards a Digital Pathology-enabled virtual curriculum to increase global pathology workforce
Lewis Hassell, MD, Oklahoma University Health Sciences Center
DPA Foundation Panel Discussion
Esther Abels, Visiopharm; Chris Garcia, MD, Mayo Clinic; Lewis Hassell, MD, Oklahoma University Health Sciences Center; Michael Rivers, Roche; John Wellbank, Epredia
Quality Digital Images: Understanding the Cost of MSKCC Digital Pathology Operations
Orly Ardon, PhD, Memorial Sloan Kettering Cancer Center
Evaluation, Deployment, and Implementation of Artificial Intelligence in Clinical Practice
Douglas Hartman, MD, UPMC
Presenting a Path for integration of a digital pathology system with the laboratory information system to create innovative pathology-centric workflows
Rajendra Singh, MD, Summit Health
Validating and implementing artificial intelligence algorithms for routine clinical practice in an academic center with case-based and data-driven discussion
Zaibo Li, MD, PhD, The Ohio State University
Modeling Kidney Transplant Outcome From the Donor Biopsy Using a Deep Learning Derived Measure of Percent Global Glomerulosclerosis
S. Joshua Swamidass, MD, PhD, Washington University School of Medicine in St. Louis
Whole slide image representation in bone marrow cytology
Hamid Tizhoosh, PhD, Mayo Clinic; Clinton Campbell, MD, PhD, Hamilton Health Sciences/McMaster University
New technologies for tissue microscopy, new opportunities for computational pathology
Richard Levenson, MD, UC Davis Health
Objective PD-L1 Immunohistochemistry Scoring Using Virtual Multiplex Immunofluorescence Restaining
Saad Nadeem, PhD, Memorial Sloan Kettering Cancer Center
Multiomic spatial delineation of immunotherapy response groups in non-small cell lung cancer (NSCLC)
Arutha Kulasinghe, PhD, The University of Queensland
DICOM WG-26 Pathology Connectathon and Hackathon
Markus Herrmann, MD, PhD, Massachusetts General Hospital
Multimedia and Interactive Pathology Reporting Empowered by Digital Pathology - Innovations in Communicating the Value of Pathology and Connecting with Our Clinical Teams and Patients
Marilyn Bui, MD, PhD, Moffitt Cancer Center
Update of the DPA Regulatory & Standards Task Force
Markus Herrmann, MD, PhD, Massachusetts General Hospital; Heather Jalisi, Leica; Anindita Saha, FDA
Opening Session
Anil Parwani, MD, PhD, MBA, The Ohio State University; DPA President
Keynote Address
Reflections on Two Decades of Digital Pathology….and Timely Predictions
Bob McGonnagle, CAP
PIcc: Regulatory Science Explained
Esther Abels, Visiopharm
We Scan, We Learn, We Improve: Digital Pathology Daily Operations in a Large NYC Tertiary Cancer Center
Orly Ardon, PhD, MBA; MSKCC
Pathologist-free technical validation of displays for digital pathology: A proposal for liberating displays from the pixel pathway
Dave McClintock, MD; University of Michigan
Fostering Strong Partnerships to Advance Digital Pathology & Augmented Intelligence
Catarina Eloy, MD, PhD, European Society of Digital and Integrative Pathology; Junya Fukuoka, MD, PhD, Japanese Society of Digital Pathology; Marc Kohli, MD, Society for Imaging Informatics in Medicine
Primum non nocere and AI – The CorePlus Vision
Juan Santa-Rosario, MD & Mariano de Socarraz; CorePlus Servicios Clinicos y Patologicos, LLC
How AI Deployment has driven full-scale digitization of Pathology for routine clinical workflow
Judith Sandbank, MD; Maccabi Healthcare Services & Filippo Fraggetta, MD; ASP Catania; Gravina Hospital Caltagirone
Building an E.U.-scale digital pathology repository: the BIGPICTURE initiative
Jeroen van der Laak, PhD; Radboud University Medical Center
Deep learning-based whole slide image segmentation for efficient and reproducible assistance in pathology
David Ho, PhD; MSKCC
Not your grandmother's training plan - Going Digital and Virtual with Pathology Education
Lewis Hassell, MD; Oklahoma University Health Sciences Center
Building a digital pathology repository to support AI: lessons learned from joint efforts by the Joint Pathology Center & Johns Hopkins University
Mark Zarella, PhD; Johns Hopkins University & Joel Moncur, MD, PhD; Joint Pathology Center
A Practical Approach to Using Image Analysis Tools to Quantify Tumor Expression of Immunohistochemical Markers
Dibson Gondim, MD; University of Louisville & Anil Parwani, MD, PhD; OSU
Plenary Address
The Digital Transformation of an Academic Pathology Department: The Memorial Sloan Kettering Experience, 2008-2021
David Klimstra, MD, Paige
Hackathon Panel Discussion
Markus Herrman, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Jason Klotzer, Google Cloud Healthcare & Life Sciences
Regulatory & Standards Update: Insights in Optimizing Regulatory Paths
Esther Abels, Visiopharm & Emre Gulturk, Paige
Updated Guideline for Validating Whole Slide Imaging Systems from the College of American Pathologists
Andrew Evans, MD, PhD; Mackenzie Health
Artificial Intelligence Predicts Breast Cancer Neoadjuvant Chemotherapy Response from Multi-source Pathologic Images
Zaibo Li, MD, PhD; The Ohio State University
Demystifying digital sign out, everything you want to know about transitioning into pixels
Giovanni Lujan, MD; OSU & Anil Parwani, MD, PhD; OSU
Digital Pathology 101
Sylvia Asa, MD, PhD, University Hospitals Cleveland Medical Center; Michael Isaacs, Washington University; Lisa Manning, Shared Health
Applying medical ethics to artificial intelligence in pathology and laboratory medicine
Brian Jackson, MD, MS; University of Utah
Advancing Non-Clinical Pathology Using Decision Support Deep Learning
Daniel Rudmann, DVM, PhD, DACVP, FIATP; Charles River
Clinical use of AI relies on generalizability and improves pathologists' diagnostic accuracy and efficiency in prostatic biopsy diagnosis
Juan A. Retamero, MD; Paige
Slide Over! New ways to break the glass habit
Richard Levenson, MD, UC Davis Health; Nick Reder, MD, University of Washington; Richard Torres, MD, Yale School of Medicine
Click here to view oral and poster abstracts in JPI.
Opening Session
Michael Rivers; Roche Digital Pathology; DPA President
Keynote Address
Going Beyond Sight, Revealing Multiplex Biology
Jared Burks, PhD; MD Anderson Cancer Center
Pixel-wise comparison of whole-slide imaging viewers*
Wei-Chung Cheng, PhD; Food and Drug Administration (FDA)
Implementing and Adopting Digital Pathology for Clinical Diagnostics: A Panel Discussion by Chairs of Academic Pathology Departments
Wendy Frankel, MD, The Ohio State University; David Klimstra, MD, Memorial Sloan Kettering Cancer Center; Anil Parwani, MD, PhD, MBA, The Ohio State University; Victor Prieto, MD, PhD, MD Anderson Cancer Center
Decoding heterogeneous tumor MR signals: MR histology and cytometric feature mapping connects 2D pathology and in vivo MRI of murine sarcomas
Stephanie Blocker, PhD; Duke University
Artificial Intelligence for Pathologists 102
Stanley Cohen, MD
Success Breeds Success: An AI Approach to Reviewing AI articles in Pathology
Mark Lloyd, PhD; Inspirata
Plenary Address
AI Driven Pathomics-the Next Diagnostic Frontier
Joel Saltz, MD, PhD; Stony Brook University
Technical Performance of FDA-Cleared Medical Grade Displays vs. Consumer-off-the-Shelf and Professional Grade Displays
Jacob Abel, MD; University of Michigan & David McClintock, MD; Michigan Medicine
The Impact of Digital Pathology/Artificial Intelligence in Precision Medicine and Response to COVID19 Pandemic: An International Expert Panel Discussion
Filippo Fraggetta, MD, Azienda Ospedaliera per l'Emergenza Cannizzaro; Junya Fukuoka, MD, PhD, Kameda Medical Center; Wen-Yih Liang, MD MS, Taipei Veterans General Hospital, TAIWAN; Bethany Williams, MBBS, BSc, Leeds Teaching Hospitals NHS Trust
Machine learning classification of CD8-topology on 4000 tumor biopsies and resections via AI-powered image analysis of CD8 immunohistochemistry slides
George Lee, PhD; BMS
KimiaNet - Training a Histopathology Deep Network from Scratch
Hamid Tizhoosh, PhD; University of Waterloo
Virtual staining can catalyze the adoption of digital pathology
Dean Wallace, MD; Keck School of Medicine of USC & Yair Rivenson, PhD; UCLA
How a Crisis Creates Regulatory Opportunities
Esther Abels, MSc, Visiopharm; Joachim Schmid, PhD, Roche Tissue Diagnostics
Augmented Reality Microscopy: Applications & Future Predictions
Liron Pantanowitz, MD; University of Michigan & Gabe Siegel; Augmentiqs
Skip the Slide: CHiMP for Practical Digital Histology without Physical Slides
Richard Torres, MD, MS; Yale School of Medicine
Connectathon Panel
Josef Friedrichkeit, J4Care GmbH; Abhishek Garhia, Nference Inc.; Nick Haarselhorst, Philips; Markus Herrmann, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Dan Hosseinzadeh, Pathcore; Lasse Jyrkinen, Neagen Oy; Nathan Schwandt, BSHS, HTL (ASCP), Epredia; Omar Sunna, MBA, GE Healthcare; Frank Yang, Huron Digital Pathology