Archived Content

Next Generation Pathology 

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Monday, February 20


INTEGRATING TECHNIQUES AND APPLICATIONS 

8:25 am Chairperson's Remarks
Ulysses G.J. Balis, M.D., Associate Professor and Director, Division of Pathology Informatics, University of Michigan

8:30 Multiplexing in Pathology: How Far Can We Go?

Richard Levenson, M.D., Brighton Consulting Group

Conventional tissue-based immunohistochemistry and immunofluorescence are limited in the number of targets they can demonstrate in the same cell or section. However, some questions need higher levels of multiplexing, especially in limited samples. New methods promise some compelling solutions.

9:00 Exome Sequencing for Candidate Gene Discovery in Inherited Disorders

Karl V. Voelkerding, M.D., Professor of Pathology, University of Utah; Medical Director, Genomics and Bioinformatics, ARUP Laboratories

9:30 Biomarker Discovery by NexGen Sequencing of Immune Repertoire

Jian Han, M.D., Ph.D., Faculty Investigator, R10K, HudsonAlpha Institute for Biotechnology

We developed mPCR (multiplex PCR) method to amplify immune repertoire inclusively and semi-quantitatively for direct sequencing. We have initiated a large scale repertoire sequencing project called R10K (R10K.org) to sequence 10,000 samples representing 100 diseases.

10:00 Networking Coffee Break with Poster Viewing

DIGITAL PATHOLOGY

10:30 Leveraging the Power of Digital Pathology in Translational Research

Mark Lloyd, M.S., Staff Scientist, Analytic Microscopy, H. Lee Moffitt Cancer Center

Marilyn Bui, M.D., Ph.D., Associate Professor and Director, Anatomic Pathology and Analytic Microscopy, H. Lee Moffitt Cancer Center

The future of pathology requires increasing levels of quantification. Using a multidisciplinary approach to address complex image analysis tasks informed by highly specialized pathologists is necessary to ensure optimal results.

11:00 Automated Feature Classification and Image-Based Feature Search in Whole Slide Image Data Sets

Ulysses G.J. Balis, M.D., Associate Professor and Director, Division of Pathology Informatics, University of Michigan

The recent availability of digital whole slide imaging data sets creates possibilities whereby libraries of histological imagery can be curated and queried for information based on morphology. This presentation explores recent advances in algorithmic technology such as SIVQ, that enables searching of WSI subject matter.

11:30 High Resolution Pathology for Personalized Medicine Using Automated Image Analysis Algorithms

Raj Bandaru, Associate Director, Informatics and Statistics Operations, Oncology Translational Laboratories, Novartis Pharmaceuticals

This talk will focus on how to handle and analyze large volumes of data and the challenges involved by showing data from a breast tumor epidemiology study where we generated multichannel biomarker data at subcellular localization levels from archival tumor biopsies.

12:00 pm Close of Symposium


 

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