Online Webinars

Previous Webinars

Oct 18, 2016

Tissue Collection Standards Determine the Future of Precision Medicine

As most compounds target specific cancer pathways, identification of pathways and their potential role as drivers for cancer growths in the individual tumor has become an attractive approach for prediction of drug response. Mutation analysis of cancer relevant genes has become the most widely used approach because DNA is a...
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Jul 19, 2016

Integrated Tissue Phenomics® and Big Data for Biomarker Discovery and Test Development

Histological phenotypes generally play an essential role in diagnostics, but in particular in oncology there is a growing need for selecting the right patients for the right treatments based on information derived from tissue slides. Oncology is a rapidly evolving field with many new treatment methods being discovered. To finally...
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Jun 27, 2016

Tissue Phenomics® at work for immuno-oncology and transplantation medicine

Immuno-oncology and transplantation medicine share the medical need for robust, immune cell-based biomarkers extracted from tissue biopsies. In an interdisciplinary approach, the Tissue Phenomics methodology is applied to mine clinically annotated image data. We provide proof-of-concept that spatial distribution of immune cells can provide valuable hints towards novel transplantation biomarkers....
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Nov 11, 2015

How to Discover Powerful Tissue-based Prognostic Biomarkers for the Benefit of Individual Patients

In this webinar, we present the Tissue Phenomics methodology to discover new tissue-based diagnostics using image and clinical data from prostate cancer patients with similar pathologies and known clinical outcome. We will demonstrate how immunohistochemically stained tissue sections are used for: Extracting large amounts of image-based features from different levels...
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Sep 23, 2015

Applying Tissue Phenomics® to Clinical Questions for Patient Stratification

This webinar will show how Tissue Phenomics can be utilized to identify previously undiscovered prognostic and predictive image-based features or combinations of features for patient stratification. These features may have remained unreported due to being too subtle or complex to identify or quantify by eye or due to high observer...
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