Jonathan T.C. Liu, PhD Professor; Mechanical Engineering, Bioengineering, and Laboratory Medicine & Pathology Director, Molecular Biophotonics Laboratory University of Washington Objectives:
- State the advantages of 3D pathology over standard 2D histology.
- Identify clinical use cases in which 3D pathology could add value.
- Describe various approaches for AI-assisted analysis of 3D pathology datasets.
Speaker disclosures:
Dr. Jonathan T.C. Liu has NOT had any financial relationships with any ineligible entities within the past 24 months.Why Attend? We are developing non-destructive slide-free 3D pathology methods for clinical decision support. In comparison to conventional slide-based pathology, 3D pathology provides: (1) vastly greater sampling of tissue specimens including whole biopsies, (2) volumetric imaging of cell distributions and 3D tissue structures that are prognostic and predictive, and (3) a non-destructive and reversible workflow that preserves valuable biopsies for downstream molecular assays. Due to the immense size of feature-rich 3D pathology datasets, new challenges exist in terms of data management, human visualization, and computer-aided interpretation. We have been working on a full stack of technologies to facilitate the clinical adoption of 3D pathology, from sample preparation (reversible optical clearing and fluorescence labeling), high-throughput imaging with open-top light-sheet (OTLS) microscopes developed in our lab, to data processing and AI-based image triage and analysis. For AI analyses, we are developing both traditional machine classifiers based on intuitive “hand-crafted” 3D features and deep-learning classifiers based on sub-visual features. Our non-destructive large-volume digital pathology methods are synergistic with the growing fields of radiomics and genomics, which collectively have the potential to improve treatment decisions for diverse patient populations. Meeting ID: 983 8715 9855 Passcode: PATHGR Attendance tracking instructions: UW attendees track attendance by TEXT for CME & CE credit: - One-Time: Text your email address to 833-394-7078 for initial set-up.
- Weekly: Text code 8818 to 833-394-7078
- Credit must be recorded via text in the 60 minutes before, during, and up to 60 minutes after the activity concludes. If you miss the texting window, use “CME Dept Assistance Request Form” on www.uwcme.org or email cme@uw.edu.
Non-UW Attendees & students use this form for credit: https://forms.gle/W2oE8d3MYbnyTDe58 All attendees are asked to complete the evaluation form here: https://forms.gle/W2oE8d3MYbnyTDe58 Please provide evaluation feedback for the presenters and to help us track accurate attendance. Thank you! Planning Committee Disclosure: The following members have not had any financial relationships with any ineligible entities in the past 24 months: Drs. Atif Ahmed, Shreeram Akilesh, Rebeca Alvarez, Eleanor Chen, Mark Kilgore, Caitlin Latimer, Yajuan Liu, Isaac Miller, Kikkeri Naresh, Aanand Patel, David Rogers, Kelly Smith, Maria Tretiakova, Lawrence True, & Nadeem Zafar.
The following members disclose financial relations with ineligible entities within the past 24 months: Dr. Michi Shinohara Kyowa Kirin (Research Support). All relevant financial relationships listed have been mitigated.
Grant Acknowledgment: None
CME Accreditation statement: The University of Washington School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The University of Washington School of Medicine designates this live activity for a maximum of 10.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. (Each session is 1.0 credit) |