Cancer Data Science Pulse

Precision Medicine
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Meteorology, Aerospace Engineering, and Cancer Research—The Future of Predictive Modeling

What do winter storms, airplanes, and cancer research have in common? In this blog, experts on meteorology, aerospace engineering, and radiation oncology explore what we can learn from these very different fields to further advance how we target and apply radiation to more effectively treat cancerous tumors.

Abstract image of DNA strand off to the left with a doctor or scientist off to the right, wearing a face mask, tie, lab coat, stethoscope around the neck, and holding a placard reading 2030.

In The Year 2030—Looking at How Genomic Data Might Evolve

Imagine a day when your healthcare is so personalized that there’s no guessing as to what medication will work best for you or whether you are at risk for a particular disease. This is a bold prediction recently addressed by genomic experts, Dr. Karen Miga and Dr. Evan Eichler. This blog examines how advances in technology are drawing us closer to a time when genomic information becomes a routine part of every patient’s healthcare.

Drs. Nikhil Wagle (on the left) and Corrie Painter (on the right) lean against a table with a laptop in between them. Behind them in a large computer monitor presenting information about “Count Me In” that includes picutes of participants in the program.

“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.

Illustrated drawing of a large group of diverse people. Headline: BIG DATA Meets Social Determinants of Health-thumbnail-MDT.png

How Can Big Data Help to Address Health Disparities?

Dr. Tony Kerlavage, director of NCI’s Center for Biomedical Informatics and Information Technology (CBIIT), sat down to discuss one key component of racial inequality, the issue of health disparities, as it relates to Big Data. As noted by Dr. Kerlavage, representing our diverse U.S. population in research and in the workforce are key, but we also need better data.

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