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

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.

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.

NCI has a new data science leader as of June 30, 2024! Meet Dr. Warren Kibbe. He’s bringing a wealth of experience to a brand new position at NCI—with the goal of advancing the use of data and data science in cancer research and care.

NCI staff contributed to an October 2023 publication that highlights how the Global Alliance for Genomics and Health (GA4GH) coalition is creating a more equitable, diverse, and inclusive environment within its standards and members. This is to prevent continuing biases in genomics data collection methods and the genomics workforce. By taking actions to address such changes, the GA4GH coalition hopes to inspire others to do the same and make genomic data more representative of the global community.

Can you develop an algorithm that applies to every patient, in every situation? A recent study shows the importance of adding diversity to your data when developing AI models.

Learn about NCI’s LORIS, a new artificial intelligence-approach to help you predict how a patient will respond to immunotherapy.

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.

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

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.

CAFCW24 is an opportunity to collaborate with experts in data science, computational biology, artificial intelligence (AI), computer science, and other disciplines to drive cancer research and innovation.