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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.

Example of a scan using a non-invasive imaging technology. The scan shows a yellow band at the top, a green layer in the middle, and a deep blue band underneath. The colored layers represent skin and the underlying tissues.

NCI SBIR Award Helps Company Use AI to Assess Cancerous Skin Lesions

With the help of an NCI SBIR grant, Enspectra Health, Inc., is blending deep learning algorithms with existing imaging technology to create a new way of obtaining a virtual biopsy.

Silhouette image of of side portrait faces of five people that overlay each other. Three of the portriat faces are colored in light, medium and dark shades of red, one is in black and the last is shaded in torquise color.

Addressing Racial and Ethnic Bias in Algorithms that Predict Colorectal Cancer Risk

NCI-funded researchers looked at the impact of racial and ethnic bias on algorithms that help clinicians make more informed decisions when caring for patients with colorectal cancer. They found that removing the race and ethnicity variable could lead to higher bias in the model’s performance.

NCI-funded researchers used artificial intelligence to develop an accurate cancer estimation map for defining tumor margins. They found their model outperformed conventional estimates of tumor margins using imaging alone.

Using Artificial Intelligence to Map Prostate Tumors

NCI-funded researchers used artificial intelligence to develop an accurate cancer estimation map for defining tumor margins. They found their model outperformed conventional estimates of tumor margins using imaging alone.

imaging of breast cancer tumor

New AI Model Exceeds Standard Breast Cancer Prediction

In an NCI-funded study, mammography artificial intelligence (AI) algorithms generated a five-year breast cancer prediction that was better than a clinical risk model.

Torso imaging with breast cancer tumors

NCI Grant Supports Artificial Intelligence for Breast Cancer Research

How can artificial intelligence assist in treating breast cancer? Learn more about the $3.3 million NCI grant awarded to help advance research into drug therapy.

Futuristic depiction of machine learning in clinical practice. Here, a doctor presses symbol showing a pancreas while other images appear in the background, including a calendar, dialog boxes, patients, and medical cross.

Deep Learning Tool Predicts Risk for Pancreatic Cancer

NCI-funded researchers collaborated with scientists from Denmark to develop a deep learning tool for predicting risk for pancreatic cancer, an aggressive cancer that’s difficult to diagnose in the early stages of disease.

Text on blue background with small blue dots. Text reads, "Funding Opportunity."

Submit Your Data Research Proposals to Advance Health Equity and Researcher Diversity

Are you using cancer data or other emerging technologies to address health disparities? Maybe you’re a researcher from a minority or underrepresented group working in cancer data science? If so, NIH has new funding opportunities to help you in your work and make a difference in addressing inequities in public health and biomedical research.

The letter I in the middle of a quote bubble, which represent infromation.

Give Your Feedback on a New Rule Related to Electronic Health Record Data

Do you work in the health technology field? The Office of the National Coordinator for Health Information Technology wants your input on a new rule related to electronic health data.

3D square with a gray boarder and green and blue circles around square, a few oranges sprinked in and two yellow on top.

NCI and DOE Support Study for Creating More Efficient Simulations of Cancer Protein Interactions

Researchers create a theoretical model to enable simulations based on Dynamic Density Functional Theory. This new model can help them understand the behavior of cancer-causing proteins better.

Drawing shows lungs centered between two discs representing AI.

Deep Learning Model Helps Tailor Screening Protocol for Lung Cancer Risk

NCI-funded researchers collaborated with scientists from NCI’s Division of Cancer Epidemiology and Genetics and Division of Cancer Prevention on a study using a deep learning model to prioritize screening for lung cancer.

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