NCI Director Dr. Ned Sharpless shared an update on the Childhood Cancer Data Initiative (CCDI) and how it is leveraging data science and data sharing to rapidly improve treatments for childhood, adolescent, and young adult cancers.
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.
The NIH Common Fund’s Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa) Program has published four Funding Opportunity Announcements (FOAs). In addition, the corresponding DS-I Africa Virtual Symposium Platform will be open July–November 2020 to provide networking tools and online events to participants.
The Metadata Automation DREAM Challenge has closed! Learn more about the winners and how they plan to collaborate together to improve their algorithms and brainstorm future approaches to automating metadata annotation.
The NCI Cancer Research Data Commons’ Genomic Data Commons (GDC) has released a new set of data from NCI programs and partners including the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Human Cancer Models Initiative (HCMI).
CBIIT Director Dr. Tony Kerlavage participated in the National Cancer Policy Forum's workshop "Applying Big Data to Address the Social Determinants of Health in Oncology." The proceedings, which were recently published, illustrate how Dr. Kerlavage and other leading experts are working to identify novel ways to collect, curate, analyze, and use social determinants of health (SDOH) data to address health disparities related to cancer research and outcomes.
The NCI Proteomic Data Commons (PDC) has new data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the International Cancer Proteogenome Consortium (ICPC) - Taiwan Lung Adenocarcinoma (LUAD) studies. This release contains open-access proteomic data for 213 lung cancer cases.
The National Cancer Institute (NCI) and the Veterans Health Administration (VHA) are recruiting postdoctoral fellows for the Big Data Scientist Training Enhancement Program (BD-STEP) to broaden our capacity to apply data-driven findings to cancer research through the support of healthcare-focused data science training.
The NCI Cancer Research Data Commons (CRDC) launched a new website, datacommons.cancer.gov, for data scientists, informaticists, and researchers to explore, learn, and engage with the CRDC and its resources.
To improve understanding of the risk and protective factors in the Veteran population, the VHA Innovation Ecosystem is utilizing the precisionFDA platform to call upon the public to develop machine learning and artificial intelligence models to predict health outcomes using synthetic Veteran health records.