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Machine Learning and Artificial Intelligence Applications for Imaging Analysis on the Cancer Genomics Cloud

Join us for an exciting September webinar where we delve into cutting-edge computing environments within the Cancer Genomics Cloud (CGC), led by Dave Roberson, Community Engagement Manager at Velsera.

The webinar features the Applied Chest Imaging Laboratory (ACIL) platform, a resource from Brigham & Women’s Hospital/Harvard Medical School, now integrated with the CGC. Discover how ACIL leverages transfer learning to evaluate vascularization and perform densitometry on chest CT images. This innovative approach is paving the way for improved diagnostics of Chronic Obstructive Pulmonary Disease (COPD) and other pulmonary conditions, offering valuable insights that transform patient care.

In addition to the ACIL platform, we will discuss the wealth of imaging data available through The Cancer Imaging Archive (TCIA) and the Imaging Data Commons (IDC). Be among the first to hear about the latest advancements on the Cancer Genomics Cloud, including new GPU hardware-accelerated instance types on Amazon Web Services and Google Cloud Platform to supercharge your research capabilities.

 

Dave Roberson is a Community Engagement Manager at Velsera, specializing in scalable and reproducible biomedical analysis. He is passionate about helping researchers maximize the value of new cloud computation technologies. Previously, Dave worked at the National Cancer Institute's Cancer Genomics Research Laboratory.

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Accelerating Pediatric Cancer Research: Harnessing the Power of the OpenPedCan Project

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October 23

Divergent immune responses in pancreatic cancer driven by tumor genotype