Program
The Advanced Biomedical Computational Science group 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.
We provide expertise, consultation, collaborative research, and…
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…
Program
At the forefront of cancer and infectious disease research, the Bioinformatics and Computational Science Directorate is committed to fostering innovative collaborations, and integrating multi-modal research and clinical data, advanced computing, applied artificial intelligence and machine learning.
We actively promote the use of data sharing…
The Bioinformatics and Computational Science Directorate advances disease research by cultivating innovative collaborations and robust integration of scientific data, advanced computing and applied artificial intelligence and machine learning to overcome leading challenges in cancer, AIDS and emerging infectious diseases.
The program works…
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…
News
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…
News
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…
News
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…
News
The Computational Approaches for Cancer Workshop at SC20 fosters collaborations and future innovations to better understand, diagnose, treat, and prevent cancer.
On Nov. 13, clinicians, cancer biologists, mathematicians, computational scientists, biomedical engineers and data scientists worldwide will participate in the Sixth Computational…
News
The Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium, an initiative that aims to expedite research and development for new medicines, is making headway.
The group recently released its first product: the ATOM Modeling PipeLine (AMPL, pronounced “ample”), an open-source software package that uses data and machine…
