HHS Artificial Intelligence Strategic Plan

HHS’s vision is to be a global leader in innovating and adopting responsible AI to achieve unparalleled advances in the health and well-being of all Americans. HHS’s overarching objective is to set in motion a coordinated public-private approach to improving the quality, safety, efficiency, accessibility, equitability, and outcomes in health and human services through the […]

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NIH Strategic Plan for Data Science, 2025 – 2030

Data science is advancing our understanding of biomedical and behavioral phenomena, contributing to breakthroughs that improve the health and wellbeing of all. The 2025-2030 National Institutes of Health (NIH) Strategic Plan for Data Science sets a bold vision for the future of data science at the NIH. The Office of Data Science Strategy leads implementation […]

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Cloud-based Learning Supp Summer 2023

NIH Cloud-Based Learning Supplement Update: Summer 2023 The completed module, A Cloud-Based Learning Module for Biomarker Discovery, launched in July with 11 other educational modules as part of the new NIGMS Sandbox. The Sandbox modules cover a variety of topics in biomedical data science including RNA-seq, proteomics, single cell ATAC-seq, and more. Manuscripts for each […]

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MIC Update

Molecular Informatics Core Update Summer 2023 Completion of Cloud-Based Learning Module and Launch of NIGMS Sandbox  Last year the MIC received an administrative supplement to the RI-INBRE grant to complete a cloud-based training module for NIGMS. The completed module, A Cloud-Based Learning Module for Biomarker Discovery (CBLMBD),  launched in July with 11 other educational modules as […]

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Cloud-based Learning Supp 2022

NIH Cloud-Based Learning Supplement Award Announcement FY2022: Dr. Christopher Hemme, “Analysis of Biomedical Data for Biomarker Discovery” RI-INBRE was one of ten INBRE programs awarded (July 2022) an administrative supplement through the National Institutes of Health’s National Institute of General Medical Sciences, to build a cloud-based learning module to teach biomedical data science concepts in […]

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NERLSCD 2022

Northeast Regional Laboratory Staff and Core Directors Annual Meeting Dr. Christopher Hemme attended the Northeast Regional Laboratory Staff and Core Directors (NERLSCD) Annual Meeting in October 2022. The NERLSCD meeting is an opportunity for core leaders and staff to network, meet with vendors, and get updated on new technologies and best practices in biological data science.  The consensus among […]

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Implementation Changes for Genomic Data Sharing Plans Included with Applications Due on or after January 25, 2023

NIH continues to work with the biomedical research community to promote effective and responsible management and sharing of scientific data generated from NIH-funded or conducted research. In an effort to reduce the burden of duplicative reporting expectations, NIH is informing the research community of its intent to establish a single Plan submission requirement for research […]

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Announcing The NIH Long COVID Computational Challenge (L3C)

Join the challenge to develop, train, and test models to aid in predicting the susceptibility to and likelihood of developing PASC/Long COVID in patients with SARS-CoV-2 infection. Long COVID, can affect anyone, including children, and it can develop in people who had asymptomatic, mild, or severe COVID-19. To complement the National Institutes of Health (NIH) […]

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