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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 strand of DNA is shown inside a brightly colored circle. A second circle highlights a portion of the DNA and is designated by an “+”. Depicts how high-tech tools are being used to better understand genetics.

Machine Learning Approach Helps Interpret Genome-Wide Dynamics

A new, scalable, machine learning model is helping scientists model thousands of transcription factors and genes in the human genome, providing new information on these genes and how they work/change over time.

Illustrated liver shows points of light, connected by brightly colored lines. Signifies how researchers are using data and technology to better understand liver cancer.

Machine Learning Helps Boost Accuracy for Liver Cancer Screening

With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.

Artist illustration of lungs set against a background of a stained pathology slide.

NCI-Funded Researchers Develop a New Model for Interpreting Pathology

Interpreting whole slide images can be a labor intensive and difficult task. A recent article describes a new approach that helps classify cancer and predict how it will progress.

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.

Scan of the human body with AI logo

NCI Study Shows AI-Assisted Contouring Improves Prostate Cancer Treatment Efficacy

In the study, artificial intelligence (AI)-assisted contours outperformed manual contours, indicating the technology’s potential to enhance treatment strategies and improve outcomes for patients.

3-D illustration of four cells, shown in blue with large red cell nuclei. Two cells are secreting small round bubbles from their surfaces. These bubbles represent exosomes, small cargo-carrying cell structures that have a part in diseases like cancer.

Seeking a Better Biopsy? NCI-Funded Researchers Are Using Machine Learning to Identify Exosome Biomarkers

NCI-funded researchers used machine learning to characterize a cancer biomarker based on exosomes. Their biomarker worked well using non-invasive sources, such as blood and urine, allowing the researchers to catch cancer early, even in tumors of undetermined origins.

A magnifying glass gives a close-up view of a strand of DNA. The DNA strand is set against a backdrop of buildings and houses, simulating a neighborhood. The illustration shows the value of understanding gene expression across the cell’s neighborhood.

Tool Unlocks Data’s Potential to Learn More About Cell Neighborhoods

See how a new NCI-funded tool is helping scientists learn more about spatial gene expression, enabling them to use these data to better understand how cells relate—with their neighbors and within the tumor environment.

A person wearing a stethoscope sits at a lap top computer. Above the keyboard are a number of small icons and dotted lines, signifying artificial intelligence. The letters "AI" appear just above the keyboard.

Artificial Intelligence Aids in Predicting Prostate Cancer

See how NCI researchers are using artificial intelligence to develop tools that may someday help oncologists make more informed decisions when caring for people with prostate cancer.

An illustrated colon is shown, cradled in the outstretched hands of a doctor wearing a white lab coat.

Machine Learning Helps Refine a New Approach for Early Colorectal Cancer Screening

NCI-funded researchers are using machine learning to help identify an early-warning screening approach for colorectal cancer.

A DNA strand is seen radiating from a toolbox full of tools. Illustration shows how scientists have many tools for use in DNA analysis.

MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

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