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Pushing the Boundaries of Cellular Analysis in the Tissue Microenvironment

Pushing the Boundaries of Cellular Analysis in the Tissue Microenvironment
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High parameter imaging techniques are becoming an important discovery tool in the study of disease, because multiple markers can be examined simultaneously within the same tissue section. However, each biomarker also adds an ever-increasing level of difficulty in the analysis of heterogenous tissue. Understanding this challenge, Visiopharm has developed a new machine learning approach to automatically phenotype individually segmented cellular objects within the complex mixture.

This workshop is divided in two parts. In the first part we focus on automatic phenotyping in the context of the tissue microenvironment presented by Keynote Speaker Dr. David Rimm.

Dr. Rimm’s lab has used the Visiopharm image analysis software for more traditional as well as novel methods in his lab. Imaging Mass Cytometry allows high-plex analysis but data from 30+ biomarkers on a single slide creates a challenge for analysis. Dr. Rimm’s lab has used the Visiopharm’s Phentotype Module to discover new methods to predict recurrence in patients treated with trastuzumab. In a second, more conventional effort, Dr.Rimm’s lab used Visiopharm software for image analysis for a new approach to standardization of Ki67 analysis between labs and operators. This approach will increase the clinical utility of Ki67.

In the second part, Dr. Stine Harder, Head of Clinical Product Management, Visiopharm, will outline our latest clinical development. We will explore Visiopharm’ s approach to analyzing clinical data using Artificial Intelligence. Learn about the latest CE-IVD APP using AI for metastasis detection in lymph nodes for breast and colorectal cancer, which brings advanced Deep Learning into the hands of pathologists and transforms routine tasks with robust decision support.

Keynote Speaker:

Using Image Analysis for Biomarker Discovery with High-Plex Imaging and for Standardization of Assessment of Ki67

- David L. Rimm M.D.-Ph.D., Dept of Pathology, Yale University School of Medicine, New Haven

Improving Diagnostic Workflows with AI: Lymph Node Metastasis Detection in Breast and Colorectal Cancer

- Stine Harder, Ph.D., Head of Clinical Product Management, Visiopharm

Track: Pathobiology and Emerging Techniques

Additional information:

Please note entry to the workshop requires that you are an attendee of the USCAP 2020 Annual Meeting.

Lunch will be provided.

In US: Our CE-IVD APPs are for Research Use Only, not for use in diagnostic procedures.

Views - 05/03/2020 Last update
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1201 South Figueroa Street, Los Angeles, 90015, CA, US
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