News

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

The NCI Cancer Research Data Commons’ (CRDC) Imaging Data Commons (IDC) team received a Certificate of Merit award for its educational poster exhibit at the 105th annual meeting of the Radiological Society of North America (RSNA).

The National Institute of Allergy and Infectious Diseases (NIAID) Office of Data Science and Emerging Technologies (ODSET) is recruiting the 2020 cohort of fellows for its Emerging Leaders in Data Science Fellowship Program.

“Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer” was selected as best paper at SC19, the International Conference for High Performance Computing, Networking, Storage, and Analysis.

The National Center for Biotechnology Information (NCBI), in collaboration with Carnegie Mellon University (CMU), is pleased to announce a Biomedical Data Science Codeathon on January 8-10, 2020, at the CMU campus in Pittsburgh, PA.

A new batch of Clinical Proteomic Tumor Analysis Consortium (CPTAC) histology imaging data has been released and is now publicly available on The Cancer Imaging Archive (TCIA) CPTAC Pathology Portal.

The New York Genome Center is hosting a National Center for Biotechnology Information (NCBI) Single Cell in the Cloud codeathon from January 15 – 17, 2020.

NIH is seeking public input on a trans-NIH data management and sharing policy proposal that further advances the Agency’s commitment to responsible data management and sharing.

The NCI Proteomic Data Commons (PDC) just released the proteomic data set from the Children’s Brain Tumor Tissue Consortium (CBTTC).

This position will serve as the senior expert and recognized technical authority expert on biomedical informatics theory and practice.

Clinical investigators at Georgetown University are seeking to advance precision medicine techniques for the prognosis and treatment of brain tumors through the identification of novel multi-omics biomarkers.