Content tagged as

Data Science

Overview Data science pursues a rigorous and systematic process based on the scientific research method, promoting a circular approach that includes: Understanding of the problem Data exploration Data preparation Algorithm selection and model building Model performance evaluation Model deployment Standards,…
The Strategic and Data Science Initiatives team builds interdisciplinary collaborations to develop innovative approaches in data management and advanced scientific computing that will improve treatment for cancer patients.  We work collaboratively with multidisciplinary teams and organizations across the research community to accelerate cancer …
The CBIIT Technical Operations Support Group provides software development, project budgeting, and product acquisition support for the National Cancer Institute’s Center for Biomedical Informatics and Information Technology.  We believe the proliferation of scientific data can be leveraged to the advantage of researchers across the world if they…
The Advanced Biomedical Computational Science team focuses on applications of bioinformatics, computational and data science, and artificial intelligence to problems in cancer, infectious disease, immunology, rare disease, HIV and other specialized areas in biomedical research.  Our scientists provide expertise, consultation, collaborative…
The program works collaboratively to support the Frederick National Laboratory’s mission in biomedical informatics, data science, and advanced computing.  Our teams provide the advanced services, tools, and capabilities to researchers nationwide to accelerate the translation of biomedical data to scientific discoveries, insights, medical…
Victor Ssempijja remembers there being many fatherless households in his hometown in Uganda during his childhood. In fact, he says he could count the number of complete families on just his fingers. The other fathers had died of HIV and associated complications. “I actually grew up thinking that men were not supposed to live long,” he said…
A data set doesn’t sound like a flashy scientific advance, but that impression belies a concept with the potential to enable eye-catching science. Such is the case with CEM500K, a new data set created by Kedar Narayan, Ph.D., and Ryan Conrad in the Center for Molecular Microscopy at Frederick National Laboratory. As reported in eLife last week…
Used successfully in several industries, digital twins have the potential to forge a path toward advances in cancer care and research. By melding computational science with the field of medicine, scientists aim to use digital twins to ultimately predict the effect of new therapies on cancer patients by using computer models without harming actual…
Researchers from the Sequencing Facility and Biomedical Informatics and Data Science Directorate at the Frederick National Laboratory (FNL) collaborated with the U.S. Food and Drug Administration (FDA) and other research centers across the U.S. to conduct a benchmark study establishing best practices for high-throughput single-cell RNA sequencing…