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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.

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Machine Learning Tool Offers Insight Into Cancer Treatment for Older Patients

NCI-funded researchers used a machine learning approach to identify patients who were most likely to benefit, or have adverse effects, from cancer treatment late in life.

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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NCI-Funded Challenge Advances Artificial Intelligence for Cancer Detection

Discover how the algorithms produced in this challenge performed in detecting breast cancer.

Blue background with white text that reads, "Supplemental Funding Opportunity Available"

Apply for Administrative Supplements to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data

Check out this updated Notice of Special Interest if you’re interested in supplemental funds for activities that will make NIH-supported data usable for artificial intelligence and machine learning analytics!

Pathology image of H&E stained slide showing colorectal cancer

New AI Tool Helps Interpret Pathology Slides to Predict Cancer Recurrence

NCI-funded researchers combined long-term, patient-outcome data with pathology slides from people with colorectal cancer to develop a machine learning tool, called QuantCRC. Using QuantCRC, researchers could predict if a patient’s cancer would recur based on analysis of a single hematoxylin and eosin stained slide of the tumor.

Data points and lines are used to illustrate the figure of a woman, with highlighted circles to indicate breasts and the acronym “AI” appearing at the top.

New Deep Learning System Proves Accurate in Predicting Suspected Breast Cancer

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.

Sound waves entering a human ear.

New Database Will Help Researchers Identify Vocal Biomarkers Using Machine Learning

A new $14 million project, funded by NIH’s Bridge2AI program, is turning the traditional biomarker concept on its ear. Instead of examining genetic or similar molecular characteristics, researchers are collecting data to look for voice biomarkers that can be linked to cancer.

Artists conceptualization of a digital twin. Shows the mirrored image of two heads. The only difference is one head is filled in with dots whereas the second head has spaces missing.

Cancer Patient Digital Twins—A Progress Report and Next Steps

Collaboration, cooperation, and the need for multimodal, multiscale data were central themes in a recent article on NCI’s efforts to develop a cancer research digital twin.

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CLIM: A Data Science Approach to Identifying “Bystander” Genes in Cancer Precision Medicine

A new precision medicine platform combines machine learning with sophisticated analysis to help researchers mine chromosomal alterations linked to cancer.

Stylized scan of torso with focus on liver and an orange colored cancer tumor

NCI Seeks Applications to Develop AI Models Using Secondary Data to Better Predict Abdominal Cancers

Learn more about a funding opportunity to develop AI-based models for predicting abdominal cancers. Applications may be accepted until May 8, 2023.

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