In this webinar, Brigham Young University’s Dr. Sam Payne will discuss how CPTAC-generated proteogenomic data and methods for multi-omics data analysis can be used to improve cancer care.

Duke University’s Dr. L. Ebony Boulware will present, “Where Clouds Meet the Ground: Democratizing Health Data to Address Community Health Equity,” at the upcoming National Institute on Minority Health and Health Disparities Seminar.

Dr. Jonas Almeida and Mr. Praphulla Bhawsar of NCI’s Division of Cancer Epidemiology and Genetics will demonstrate the power of the ImageBox2 program and how it allows for easy and fast access to large whole-slide images stored in cloud-based data repositories.

The first in a series of interactive workshops hosted by the NCI-DOE Collaboration, this presentation will set the stage for the future of computing and artificial intelligence in radiation oncology.

In this talk, Dr. Katherine Pollard, director of the Gladstone Institute of Data Science and Biotechnology, will describe how her team developed “Akita,” a deep convolutional neural network that can be used to accurately predict genome folding using only DNA sequence as the input.

In this Cancer Moonshot℠ Seminar, Vanderbilt University’s Dr. Bradley Malin will discuss how to support innovative cancer research through data privacy.

The Cancer Genomics Cloud’s (CGC’s) monthly webinar series is launching on Wednesday, January 27, with an overview of its platform and how users can leverage cloud computing for cancer research.

Drs. Helen Moore, Esmeralda Casas-Silva, Veena Gopalakrishnan, and Ms. Claire Blaustein will showcase the design and functionality of the NCI Cancer Moonshot Biobank website. By highlighting the challenges and successes they encountered when developing the website, their hope is that it will serve as an archetype for similar participant-engagement efforts within NCI.

This monthly NCI Genomic Data Commons (GDC) webinar will provide an open forum for users who have questions about GDC data, processes, or tools.

Dr. Noémie Elhadad will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care.