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Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Headshot of Dr. Jill Barnholtz-Sloan

Dr. Jill Barnholtz-Sloan Talks Informatics, Data Science, and Epidemiology in NCI Podcast

She speaks to how these areas are interconnected, shares her personal career journey, and uses her experience to advise you on how to be a successful cancer researcher.

Magnifying glass with the word “Bias” written on it hovers over a group of figures. Depicts the importance of searching for (and correcting) bias when developing a machine learning model.

Algorithm Helps Address Bias in Machine Learning

Are you developing machine learning and looking for ways to make your model generalizable to a diverse population? A recent study describes an algorithm that centers on transforming your data rather than tweaking your model.

A stick drawing of a person is shown inside an imaging machine. Circles with dots and dashes encircle the image, designating a high-tech approach to cancer imaging.

See What’s New in NCI’s Imaging Data Commons (IDC)

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

open laptop with a picture of a brain and data charts on the screen. There are also other data themed icons including a data cloud, gears, and a magnifying glass.

Participate in the NCI Medical Image De-Identification Benchmark Challenge at MICCAI 2024

Explore this challenge if you’re a software tool developer interested in assessing how well your tool de-identifies medical images.

Illustrated doctor studies a computer screen displaying a patient’s electronic heath record. The record includes the patient’s picture, heart information, and other text representing her overall health and well being.

Electronic Health Records Adopting Cancer Data Elements

Thanks to a unique public-private partnership, new data elements will soon be a routine part of electronic health records, capturing information about cancer and helping to improve cancer diagnosis, treatment, and care.

Logo for the American Association for Cancer Research's special series on the Cancer Data Research Commons

10 Years of NCI’s Cancer Research Data Commons Highlighted in AACR Journal

Read the four-part series on NCI’s Cancer Research Data Commons’ history, resources, standards, and future initiatives. The articles are now available online in “Cancer Research,” one of the flagship journals of the American Association for Cancer Research (AACR).

3-D rendering of a DNA strand. A section of the two strands is highlighted to show how researchers are studying tiny variants in DNA to see how they impact gene expression and, potentially, cancer.

New Platform for Prioritizing Genetic Variants Underlying Cancer Risk

Are you having trouble prioritizing which genetic variants to study in your cancer research? There’s a new platform, called FORGEdb, that can help you pinpoint promising variants and target genes.

Face in profile with letters AI in center and stylized interconnected data points.

Up to $50k in Prizes for AI-Readiness Challenge on NCI Data

Participate in the upcoming challenge to assess NCI Cancer Research Data Commons' compatibility with AI/ML technologies.

two stylized people from the chest up next to each other. One is filled with interconnected data points, the other is a flat peach tone. Behind them is an infinity symbol.

Funding Available to Support Development of Digital Twins in Radiation Oncology

Do you work with digital twin data models? If so, consider applying by March 21, 2024, for research funding!

Podcast Mic

NCI Podcast Comments on the Future of AI and Cancer Research

CBIIT Director Dr. Tony Kerlavage and NCI Chief Information Officer Mr. Jeff Shilling discuss the need for standardized data; the importance of addressing biases in artificial intelligence (AI) models; recruitment; and the necessity for continuous learning when it comes to AI.

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