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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.

Cancer drug target visualized at the atomic level, the protein p97 is trapped in an inactive state by a new inhibitor (red) and the molecule cannot proceed into its normal reaction cycle. Image created using cryo-electron microscopy.

New NCI-DOE Collaboration Project, IMPROVE, Seeks Deep Learning Model Approaches

IMPROVE focuses on improving deep learning models to predict the efficacy of cancer treatments. The research community, including data scientists and informaticists, is asked to respond to an RFI for creating protocols to evaluate model performance by April 15, 2022, at 5:00 p.m. ET. Additionally, they are encouraged to respond to an RFP for improving model comparison by May 9, 2022.

Horizontal line of interlocking hexagons in shades of blue and white and black, representing genomic data sharing.

Provide Input on Potential Updates and Long-Term Considerations for the NIH Genomic Data Sharing Policy

NIH needs input on potential updates to the NIH Genomic Data Sharing Policy! As a researcher or data scientist, share your perspective related to cancer genomic data to help the policy keep pace with evolving scientific opportunities and stakeholder expectations. Responses to the Request for Information will be accepted through February 28, 2022.

An all-white puzzle with one piece pulled up that has a red magnifying glass on it. The area underneath the raised puzzle piece is red, showing stark contrast against the white puzzle pieces.

NIH Issues RFI for Input on “Search” Capabilities That Could Enhance NIH-Wide Data and Information Discovery

Interested in making data discoverable to the larger research community? Share your perspective with NIH, who wants to know how to improve data searchability and discovery. Cancer researchers, data submitters/generators, data users, and technology providers should respond by December 3, 2021.

Image depicts a futuristic-looking head outlined in electric blue with circuits running throughout, representing brain activity. The head is surrounded by numbers, ones and zeros, and there are flashes of hot pink around the head and going through it.

Submit Input to NIH and FDA About Next Generation Sequencing and Radiomics Resource Requirements

Cancer researchers and data scientists have the opportunity to provide NIH and the FDA input on the requirements for accelerating clinical applications of next generation sequencing and radiomics (including those using artificial intelligence and machine learning). Responses to these Requests for Information are due Monday, November 1, 2021.

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NIH Issues RFI for Increasing Access to Cloud Computing to Diverse Biomedical Research Institutions

This RFI seeks extramural stakeholder input (e.g., bioinformaticians, computational biologists, data scientists, and other informatics researchers) to understand the opportunities and challenges of adopting cloud computing at minority universities and colleges for biomedical, clinical, behavioral, and social science research. Responses will be accepted through September 30, 2021.

Picture of benchtop filling machine with four separate nozzles pouring a black liquid specimen into four separate capsules.

NIH Requests Information on Developing Consent Language for Future Use of Data and Biospecimens—Comments Due Sept 29

NIH released this RFI to inform the development of consent language for data and biospecimen sharing.

Humaniod depiction of artificial intelligence/machine learning

NIH Issues RFI for Advancing AI/ML Technologies to Redress Health Disparities: Responses Due July 9

This RFI will inform the development of an NIH initiative on the use of Artificial Intelligence/Machine Learning to address health disparities and inequities and enhance diversity within the AI/ML workforce.

Child with cancer holds onto her mother after treatment

NCI Issues RFI for National Childhood Cancer Registry Data Platform: Responses Due May 4

This Request for Information is intended to obtain information to formulate a procurement strategy for a data platform to support the National Childhood Cancer Registry, a component of the larger Childhood Cancer Data Initiative.

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National Library of Medicine Seeks Input on the Use of Common Data Elements in NIH-funded Research

NIH’s National Library of Medicine recently released a Request for Information (RFI) on the use of Common Data Elements (CDEs) in the context of research on COVID-19. These comments will be used to inform NIH’s continuing development of guidance on CDE use for COVID-related research. RFI responses are due by May 10, 2021.

Brick sign outside of building reading, Frederick National Laboratory for Cancer Research

NCI Seeks Input About New National Programs at the Frederick National Laboratory for Cancer Research

NCI seeks input to identify promising opportunities and cancer research needs that, while difficult to address on an individual scale, might be directly related to the scientific mission of a national lab. Responses will be accepted through Friday, February 19, 2021.

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