Cancer Data Science Pulse

The Cancer Data Science Pulse blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities from professionals dedicated to building a national cancer data ecosystem that enables new discoveries and reduces the burden of cancer.

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Making a Bioinformatics Tool for the Cancer Research Community

Discover how to make your bioinformatics tools more broadly usable with no-code solutions!

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Semantics Series—The Role of Common Data Elements and Artificial Intelligence

Common Data Elements (CDEs) enrich and standardize data through consistent and accurate metadata, helping to make data ready for use in training artificial intelligence (AI) models. In this blog, Ms. Denise Warzel discusses the role of CDEs and AI in CBIIT’s Semantic Infrastructure.

Scale set against a background of high-tech imagery, including a bright circle and smaller lines connected by dots. Denotes the idea of bringing balance to biomedical data sets.

Synthetic Data Helps Counter Lack of Diversity in Data

In this blog, NCI’s Center for Cancer Health Equity, Dr. Laritza Rodriguez, looks at one technique to help counter a lack of diversity in your data set. See how Synthetic Minority Oversampling Techniques (SMOTE) can help bring your biomedical research data into better balance.

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A Quick Start Guide to Cancer Data Science for Clinical Oncology

Whether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.

A person wearing a stethoscope holds a tablet with one hand and presses the screen with the other. The letters A-I are illuminated above the screen, depicting how doctors and researchers are using AI to address today’s biomedical issues.

The Good, the Bad, and the Unexplained: Five Tips for Evaluating an AI Product

Are you interested in using artificial intelligence (AI) in your research or clinical practice but feeling unsure about where to start? Researchers from NCI’s Center for Cancer Research, Drs. Baris Turkbey and Stephanie Harmon, offer five tips that can get you started.

several pictures representing various ambiguous terms in cancer and data science including a person playing a video game, hot peppers, DNA sequencing, a graph, and a child watching a cartoon.

Hone Your Communication Skills: “Weird” Cancer and Data Science Terms to Know!

Explore some of the interesting terms used in cancer research and data science, and get tips on how you can make sure you’re communicating effectively!

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Dr. Tony Kerlavage Reflects on His Time at NCI CBIIT

Following 13 years at NCI and seven years as CBIIT’s director, Dr. Kerlavage plans to retire at the end of May. He shares his experience serving as director, advice for the future director, and plans for his retirement.

Abstract rendering of a human genome sequencing shows vertical lines of blue and black. Along the lines are small rectangles that vary in intensity, with some bright and others darker. Small icons along the lines of color designate a position of interest along the DNA sequence.

The Cancer Genome Atlas (TCGA)—A Living Legacy for Cancer Research

Are you familiar with TCGA? This landmark data set maps the genomic profiles of 33 cancer types and subtypes. Learn how this rich data collection helps researchers like you better understand the molecular features associated with cancer.

Professional headshot of Eric "Rocky" Feuer. Text reads, "Photo by Chia-Chi Charlie Change, NIH"

Providing NCI with Nearly 40 Years of Biostatistics: A Conversation with Dr. Eric “Rocky” Feuer

After 37 years at NCI, most of which was time serving as chief of the Statistical Research and Applications Branch for the Surveillance Research Program within NCI’s Division of Cancer Control and Population Sciences, Dr. Feuer shares his past experience and accomplishments as well as his advice to the next generation of cancer researchers.

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Career Confessions: NCI Earl Stadtman Investigator Shares Data Science Mentorship Advice

We spoke to Dr. Tongwu Zhang of NCI’s Division of Cancer Epidemiology and Genetics to hear his advice on advancing in the cancer data science field.

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