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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.

A stethoscope and a strand of DNA blended together denotes a new tool that allows researchers to more easily integrate clinical and genetic data.

cBioPortal Updates Offer Joint Analysis of Genetic and Clinical Data

Interested in blending clinical and genetic data? Upgrades in cBioPortal can help you work with these very different data types to better understand cancer and how it progresses over time.

An open laptop with the words "Feedback Needed" on the screen

Give Your Input on the Updated NIH Strategic Plan for Data Science

What do you think of the updated Strategic Plan for Data Science from NIH? Respond to this Request for Information by March 15!

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.

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Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

A circle contains a syringe, a pill bottle, and a strand of DNA—illustrates how researchers are using genetics to find new and better ways of treating cancer.

Machine Learning Models Help Predict Medication Responses

What if you could predict how a chemotherapy drug would work—in terms of sensitivity and side-effects—before you ever use it? NCI-funded researchers are using machine learning models to better understand a key mechanism underlying cancer, giving us new ways to predict responses to common chemotherapy drugs.

Spyglass over an illustrated pancreas. Symbolizes the research underway to better understand the pancreas and pancreatic cancer.

Automated AI Model Aids in Early Detection of Pancreatic Cancer

Do you specialize in pancreatic cancer? See how researchers are using artificial intelligence to find undetectable cancers on scans of seemingly normal pancreases, long before clinical symptoms are visible.

Scientists hand holds an illustrated set of lungs. The lungs are illuminated and include bright pinpoints of light. Illustrates the idea of using AI to better understand lung disease.

Model Uses Blood Proteins to Predict Lung Cancer Risk

A new algorithm is showing promising results in predicting lung cancer. See how proteins in your blood may someday help determine your risk for lung cancer.

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!

Purple background and two pieces of paper. One paper says A and one paper says B. Both pieces of paper have a data sharing icon on them.

Provide Feedback on NIH Data Management and Sharing Plan Pilot Templates

Do you conduct NIH-funded research? Try out these data management and sharing (DMS) plan pilot templates, give your input, and help shape the future of NIH DMS Plan design!

The letters "AI" appear in a box. Brightly colored lines feed into the box from all sides, showing how data flows into the box, where the information is then processed by AI.

New Regulations Aim to Make AI Models More Useful, Less Biased

Are you working on artificial intelligence (AI) solutions for cancer care? Check out these guidelines from the Office of the National Coordinator for Health Information, which should help make AI in clinical care more transparent.

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