What happens when Department of Energy (DOE) researchers join forces with chemists and biologists at the National Cancer Institute (NCI). They use the most advanced high-performance computers to study cancer at the molecular, cellular and population levels.
Exascale Computing Project: Leveraging HPC and Neural Networks for Cancer Research
March 25, 2024 by
Barcelona Supercomputing Center: Cellular Digital Twins for Cancer Treatment
March 16, 2023 by
16 March 2023 — Barcelona — The Barcelona Supercomputing Center is working towards the creation of digital twins that can virtually represent cell-level systems to computationally predict the response of potential treatments. These cell-level simulations can be personalised with patient-specific data to capture individuals´ genetic and environmental influences that provide a deeper understanding of the […]
Preparing for Exascale: ALCF’s Aurora Early Science Program and Visualizing Cancer’s Spread
March 26, 2021 by
Scientists are preparing a cancer modeling study to run on Argonne’s upcoming Aurora supercomputer before it goes online in 2022. The U.S. Department of Energy’s (DOE) Argonne National Laboratory will be home to one of the nation’s first exascale supercomputers – Aurora is scheduled to arrive in 2022. To prepare codes for the architecture and scale of […]
Dell Technologies HPC Community: Cancer Computer Founder Roy Chartier Talks HPC in Support of Cancer, COVID Research
September 2, 2020 by
Roy Chartier, founder and CTO of Cancer Computer, Ottawa, with more than 25 years in HPC, HPDA and AI, has assembled a team of volunteers who support cancer researchers by connecting them with the computer hardware, processing capacity and IT support they need to save lives. During this pandemic year, the organizations has expanded its mission to support COVID-19 researchers. A member of the Dell Technologies HPC Community, Chartier in this interview talks about Cancer Computer’s work, its partnership with Dell and the value of cross-discipline meetings, such as those held organized by Dell for its HPC community members.
Applications Open for “Advancing Cancer Biology at the Frontiers of Machine Learning” Innovation Lab
March 4, 2020 by
The National Cancer Institute (NCI) in collaboration with Carnegie Mellon University, and Knowinnovation are convening experts in cancer systems biology, mathematical modeling and machine learning to come together, share ideas, form new collaborative teams, and propose and refine interdisciplinary pilot projects. The Innovation Lab “Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Modeling” will be held on June 1-5, 2020.
BSC Powers Pan-Cancer Project
February 6, 2020 by
An international team has completed the most comprehensive study of whole cancer genomes to date, significantly improving our fundamental understanding of cancer and signposting new directions for its diagnosis and treatment. The Barcelona Supercomputing Centre has been involved from the initial stages of this project, and has contributed with the analysis of data, with the design of specific computing solutions for cancer genomics, as well as in the answering of specific questions related to with the biology of tumors.
Podcast: A Codebase for Deep Learning Supercomputers to Fight Cancer
January 22, 2020 by
In this Let’s Talk Exascale podcast, Gina Tourassi from ORNL describes how the CANDLE project is setting the stage to fight cancer with the power of Exascale computing. “Basically, as we are leveraging supercomputing and artificial intelligence to accelerate cancer research, we are also seeing how we can drive the next generation of supercomputing.”
XSEDE Supercomputers Advance Skin Cancer Research
December 23, 2019 by
In this TACC podcast, UC Berkeley scientists describe how they are using powerful supercomputers to uncover the mechanism that activates cell mutations found in about 50 percent of melanomas. “The study’s computational challenges involved molecular dynamics simulations that modeled the protein at the atomic level, determining the forces of every atom on every other atom for a system of about 200,000 atoms at time steps of two femtoseconds.”
Exascale CANDLE Project to Fight Against Cancer
August 21, 2019 by
The CANcer Distributed Learning Environment, or CANDLE, is a cross-cutting initiative of the Joint Design of Advanced Computing Solutions for Cancer collaboration and is supported by DOE’s Exascale Computing Project (ECP). CANDLE is building a scalable deep learning environment to run on DOE’s most powerful supercomputers. The goal is to have an easy-to-use environment that can take advantage of the full power of these systems to find the optimal deep-learning models for making predictions in cancer.
Ai allows for identification of new cancer genes
February 20, 2019 by
Researchers at the Barcelona Supercomputing Centre have created a new artificial intelligence-based computational method that accelerates the identification of new genes related to cancer. Prof. Pržulj highlights that this new method to analyze cells “enables the identification of perturbed genes in cancer that do not appear as perturbed in any data type alone. This discovery emphasizes the importance of integrative approaches to analyze biological data and paves the way towards comparative integrative analyzes of all cells.”
