Tumor Microenvironment Analysis Using Curated Data and Modeling

Understanding the tumor microenvironment (TME) presents a major challenge for biopharma researchers and translational scientists. The complexity of cellular interactions, variability across patient samples and overwhelming volume of public omics data can make it challenging to pinpoint key molecular drivers and predict functional consequences. Building a clear, actionable view of the TME often feels like assembling a puzzle without the picture on the box.

In this webinar, discover how to overcome these challenges by combining expertly curated biological knowledge with powerful predictive modeling tools. Learn how to easily construct molecular networks, interpret gene expression data from resources like The Cancer Genome Atlas and Gene Expression Omnibus and model upstream regulators to predict immune and tumor behavior. Using examples such as Interleukin-1 beta’s role in non-small cell lung cancer (NSCLC), the featured speaker will show how to accelerate discoveries and guide therapeutic insights.

Register for this webinar to learn how predictive modeling and data curation reveal key insights into the tumor microenvironment.

Speaker

Kristin O’Malley, Senior Field Application Scientist, QIAGEN

Kristin O’Malley has spent much of her career at the bench in genomics labs in the clinical space, large pharmaceutical companies and small start-up biotechs. She took this experience and switched careers a few years ago to become a Field Application Scientist. She enjoys the broad spectrum of biology she encounters in this role and empowering scientists to be successful in their endeavors.

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