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Data Science

Second annual ATOM summer training program empowers and equips students

Six graduate students from Butler University and Nova Southeastern University completed a virtual 10-week summer training program with the Accelerating Opportunities for Therapeutics in Medicine (ATOM) Consortium at the end of July. Their efforts are the latest part of ATOM’s mission to put accelerated, computer-based pharmaceutical discovery in…

Newly published metadata standards for biological imaging aim to make data sets more accessible

Meta tags are used on web pages. Metadata is added to photographs. Both help people find, use, and reuse these digital assets. Scientists say the same is needed for image data in biology, and urgently so. “A single imaging data set could be a thousand images,” said Frederick National Laboratory imaging scientist Kedar Narayan. “Someone might…

AI and 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,…

Strategic and Data Science Initiatives

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 …

CBIIT Technical Operations Support Group

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…

Advanced Biomedical Computational Science

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…

Biomedical Informatics and Data Science Directorate

The Biomedical Informatics and Data Science Directorate advances disease research by cultivating innovative collaborations and robust integration of scientific data, advanced computing, and artificial intelligence to overcome leading challenges in cancer, AIDS, and emerging infectious diseases. The program works collaboratively to support the…

Victor Ssempijja: A data analyst who’s helping to diminish an epidemic

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…

Data set lets AI teach itself to analyze microscopy better

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…

Digital twins for cancer care: Exploring a cross-disciplinary innovative approach  

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…
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