1. 20 Years Of Digital Pathology-An Overview Of The Road Travelled And What Is On The Horizon
Presenters:
Joel Saltz, Biomedical Informatics, Stony Brook University
Ashish Sharma, Biomedical Informatics, Emory University
Alexis B. Carter, Pathology and Laboratory Medicine, Children’s Healthcare of Atlanta
Liron Pantanowitz, Pathology and Bioinformatics, University of Pittsburgh Medical Center
Moderator
Tahsin Kurc, Biomedical Informatics, Stony Brook University

2. Digital Pathology Tumors are complex
Need multi-level information to understand disease mechanisms
Leveraging image- derived information to generate Pathology Imaging biomarkers that can be combined with Radiology information and molecular data to steer treatment

3. Digital Pathology
Digital Pathology has developed into a thriving field with both clinical and research applications.
FDA approval this year to allow use of digital whole slide imaging for primary Pathology diagnosis
Adoption of Digital Pathology informatics tools in clinical practice is still a work in progress

4. Panel Goals
Describe the history, state of the art, promise and challenges in digital Pathology Informatics
Informatics related challenges include the need for interoperability and standards, integration of analytic pipelines and results into clinical decision support
Discuss past and present efforts to develop infrastructure to scan, catalog and store large collections of whole slide images (WSI), both for clinical work and research
Present methods and tools to carry out large-scale, integrated analysis with visualization, interrogation and mining of WSI will also be discussed

5. Presentations
Joel Saltz – An overview of the last 20 years of digital Pathology
Alexis Carter -- Advantages and barriers of Vendor Neutral Archives for storage and retrieval of medically important Whole Slide Images
Liron Pantanowitz -- How digital pathology has evolved over time as a research and clinical tool
Ashish Sharma -- Challenges and software systems for whole slide tissue image management, visualization and analysis