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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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Read NCI's Four Priority Areas for Artificial Intelligence

NCI Director Dr. Ned Sharpless and CBIIT Director Dr. Tony Kerlavage recently published an article, “The Potential of AI in Cancer Care and Research,” which takes stock of current advances in artificial intelligence and machine learning and outlines some of the areas NCI hopes to explore in greater depth in the future.

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NIH Common Fund’s New Bridge to Artificial Intelligence (Bridge2AI) Program: Research Opportunity Announcement and Team Building Activities

Beginning with an “analysis-first” approach, the Bridge2AI program values the machine-understandability of data and incorporates ethical principles surrounding data collection and use. See the list of upcoming June events and funding opportunities affiliated with the program.

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NIH Offers Administrative Supplements to Support Software Enhancement, Collaborations for Improving AI/ML-Readiness, and Data Alignment to FAIR Principles

The NIH Office of Data Science Strategy recently announced four Notices of Special Interest for administrative supplemental funding. Supplement applications are due May 2021.

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AACR Annual Meeting 2021: Week 1 NCI Data Science Event Sessions and Posters

Attending the 2021 American Association for Cancer Research (AACR) Annual Meeting? Here are a few event and poster sessions you won’t want to miss to learn more about the latest NCI data science, data commons, and cancer research activities.

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Using 'Omics to Understand Cancer

Drs. Daoud Meerzaman of NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) and Barbara K. Dunn of NCI’s Biometry Research Group recently served as Guest Editors for a special virtual issue of the journal, Frontiers in Oncology. This collection of articles shows how ‘omics data are helping scientists to better understand the prevention, detection, and treatment of cancer. The issue explores the full range of ‘omics findings, from identifying biomarkers for diagnosing and treating cancer, to uncovering the mechanisms for disease.

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CPTAC Investigators Establish Protein Level Prediction Model Using Crowdsourcing

Clinical Proteomic Tumor Analysis Consortium (CPTAC) researchers shared the results of their first crowd-sourced NCI-CPTAC DREAM Proteogenomic Challenge. In this community-based, collaborative contest, participants developed computational algorithms to predict protein abundance and phosphoprotein levels.

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