Cancer Data Science Pulse

Machine Learning
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NCI’s IMMUNOtron—The Making of a Machine Learning (ML) Robotics Tool

ML models feed on large amounts of quality data, which can be scarce. Meet IMMUNOtron, a ML-robotic platform that’s helping NCI researchers generate and process high-quality data to better understand the immune system’s response to cancer.

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.

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.

Hands of many different colors come together to embrace a heart filled with data points against a background of codes. Illustrates the value of diverse data.

Why We Love Diverse Data

We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.

Laptop displaying the NCI Cancer Data Science Pulse webpage with the text, "CBIIT's top Blogs of 2023"

The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2023

Read the blogs that topped our charts in 2023, and see if your favorite made #1!

[9:15 AM] Richardson, Alexandra (NIH/NCI) [C] Globe is surrounded by a network of lines and dots showing how the earth is interconnected.

NCI Funding Helps AI Researchers Gain Global Insight on Cancer

Meet Drs. Ajay Aggarwal and Anant Madabhushi, two grantees funded by NCI’s Center for Global Health’s Affordable Cancer Technologies (ACTs) Program. These ACTs-supported grantees are using artificial intelligence (AI) to develop tools that can be used in a variety of conditions and health systems around the world.

The 12 Blogs of CBIIT on wintery background

The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2022

Read the blogs that topped our charts in 2022 and see if your favorite made #1!

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Data Set 411: The National Lung Screening Trial

In honor of National Lung Cancer Awareness Month, we’re highlighting the “data deets” (details) for the National Lung Screening Trial, a large-scale effort that collected imaging data for more than 53,000 heavy smokers. In this blog, we’ll cover the research that drove this data, specific metrics about the data set, how to access it, and some of the exciting data science projects using the data.

Text in foreground reads, "Integrated Canine Data Commons (ICDC), NCI Cnacer Research Data Commons." The background shows a circle with a x-ray of a dog intersectin with a circle containing an xray of a human.

A Tail-Wagging Good Time—Working on the Integrated Canine Data Commons

Ever wonder what it’s like to work on a data ecosystem? Meet software engineer Ming Ying, and website specialists Hannah Stogsdill and Ambar Rana, as they describe what it’s like to design, develop, implement, and maintain NCI’s Integrated Canine Data Commons.

Computer-generated 3D model of breast cancer.

Your Guide to NCI Data Science Resources for Breast Cancer Research

As NCI recognizes Breast Cancer Awareness Month this October, we highlight several data science resources to assist in your breast cancer research.

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