Sign up for our newsletter and get the latest big data news and analysis.
Daily
Weekly

QPM Address Medical Life Sciences Challenges

In this sponsored post from our friends over at Quanta Cloud Technology (QCT), review how QCT brings out the concept called QCT Platform on Demand (QCT POD), which is a converged framework with a flexible infrastructure for customers running different workloads. Under this concept, QCT develops the QCT POD for Medical (QPM) that is an on-premise rack-level system with common building blocks designed to provide greater flexibility and scalability, aimed to meet different medical workload demands using HPC and DL technologies, including Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Medical Image Recognition.

ORiGAMI – Oak Ridge Graph Analytics for Medical Innovation

Rangan Sukumar from ORNL presented this talk at the HPC User Forum in Tucson. “ORiGAMI is a tool for discovering and evaluating potentially interesting associations and creating novel hypothesis in medicine. ORiGAMI will help you “connect the dots” across 70 million knowledge nuggets published in 23 million papers in the medical literature. The tool works on a ‘Knowledge Graph’ derived from SEMANTIC MEDLINE published by the National Library of Medicine integrated with scalable software that enables term-based, path-based, meta-pattern and analogy-based reasoning principles.”

HPC in Medical Applications

Medical applications like CT (computed tomography) scanning and MRI (magnetic resonance imaging) require quick, accurate results from processing complex algorithms. So reducing the compute time required is a primary challenge to manufacturers of CT and MRI equipment.

SURF Light-path Data Networks and HPC Cloud in Medical Research

“SURF allows you to set up a light path: a direct, secure, and fast connection between 2 points, for example between a researcher in the Netherlands and a telescope in China. This offers unique, worldwide possibilities, for example for more efficient research, for sharing facilities or large datasets, or for creating backups.”