Cancer Data Science Pulse

Genomics
Nikhil Wagle, M.D. and Corrie Painter, Ph.D. standing against a round table at the National Institues of Health, facing the camera, both smiling.

“Count Me In” Gives Patients a Voice in Scientific Discovery

“Count Me In” (CMI) is a unique project that gives patients an opportunity to share their cancer-related data directly with scientists. According to Corrie Painter, associate director of CMI, this is a largely untapped but vital part of data science. Here she describes the project and what it could mean for future research efforts.

Depiction of circular collaboration between lab scientist, bioinformaticist, statistician, and clinician.

It Takes a Village: The Value of Collaboration in Genomic Cancer Studies

The explosion of genetic information and direct access to large-scale genomic data not only opens up new areas for exploring today's most pressing research questions, it also serves as a reminder of the importance of collaboration at every stage of the study. NCI’s Dr. Daoud Meerzaman describes a new "circular" way of collaborating that keeps everyone in the loop when devising new genomics studies.

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NCI's Office of Data Sharing: Setting a "Gold" Standard for Childhood Cancer

Dr. Jaime M. Guidry Auvil serves as the director of the newly-launched NCI Office of Data Sharing (ODS). Headquartered at the Center for Biomedical Informatics and Information Technology, ODS is creating a comprehensive data sharing vision and strategy for NCI and the cancer research community.

Lee Cooper, Ph.D.

The Promise and the Challenge of Deep Learning in Pathology

One of the most exciting developments of the past decade has been the success of methods broadly described as deep learning. While the roots of deep learning date back to early machine learning research of the 1950s, recent improvements in specialized computing hardware and the availability of labeled data have led to significant advances and have shattered performance benchmarks in tasks like image classification and language processing.

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Predictive Modeling for Pre-clinical Drug Screening: Improving Models Derived From Observational Studies Using Machine Learning and Simulation

This blog post, the fifth, concludes our series that discusses the principles underlying the collaborative project "Joint Design of Advanced Computing Solutions for Cancer (JDACS4C)."

Lung cancer CT image

NCI Requests Input on the Development of an Imaging Data Commons

In 2016, a Blue Ribbon Panel (BRP) was established, as part of the Beau Biden Cancer Moonshot, to make key recommendations that would support the Moonshot goals of accelerating progress in cancer research and breaking down barriers to developing new treatments.

Representative CT images of lung cancer. Tumors are different — automated medical imaging can capture these phenotypic differences.

Artificial Intelligence in Cancer Diagnostics and Prognostics: Radiologists in the Driver's Seat

In the past year, the use of Artificial Intelligence (AI) in radiology, also called "radiomics," has been getting a lot of attention, mainly because of the progress Deep Learning (DL) has made from a sub-human performance to performance that is similar, or in some cases superior, to that of humans.

Graphic image reads: Proteomics Research: On the Frontier of Precision Medicine

Breaking Down Data Silos: The Urgency of Now

Now is the time for researchers across domains to ideate together, share data, and maximize the utility of those data. This is "the urgency of now" according to former Vice President Joe Biden, who delivered the keynote address to those in attendance at the September 2017 Human Proteome Organization (HUPO) Annual World Congress.

Data Commons Figure 08-09-2017

Towards a Cancer Research Data Commons

I recently joined NCI to help support strategic data sharing and informatics projects within the Center for Biomedical Informatics and Information Technology (CBIIT). Having worked on information management at another Institute for five years and the trans-NIH Big Data to Knowledge (BD2K) initiative since its inception, this is an exciting opportunity for me to continue to contribute to enhancing data science across the biomedical community.

Decorative image of cartoon-style drawings of buildings with a cloud above them, rays of light coming from the cloud towards the buildings.

Democratizing Access to CCG Data: Cancer Genomics Cloud Pilots

In recent years, genomics has been described as a big data science on par with the likes of Twitter, YouTube, and the scientific pursuit of understanding the universe.

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