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Data Science

Columbia University students employ AI to predict chemical properties in hands-on drug discovery project

News
Seven Columbia University graduate students recently completed drug discovery projects at the Frederick National Laboratory for Cancer Research (FNL) as part of their fall 2021 semester. Since 2020, 40 Columbia University students have completed projects with the FNL for their master’s degree coursework. The projects represent a partnership…

Machine learning-backed model reveals new insights about RAS biology not possible with traditional experiments

News
A key to understanding KRAS-driven cancers and the role of mutant RAS proteins and to discover new therapeutic possibilities is to better understand how RAS behaves on the cell membrane. Investigating RAS in the context of membranes is somewhat challenging using conventional computational or experimental techniques. In a partnership with…

Second annual ATOM summer training program empowers and equips students

News
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

News
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

Basic page
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,…

Cancer Data Science Initiatives

Program
The Cancer 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 and…

CBIIT Technical Operations Support Group

Program
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

Program
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…

Bioinformatics and Computational Science

Program
The Bioinformatics and Computational Science program, formerly called the Biomedical Informatics and Data Science program, 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…

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

News
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…
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