Robert Roe looks at the use of precision medicine and its potential impact on laboratory informatics software
Data types used are advancing from the simple text formats of old, writes Paul Denny-Gouldson
The failure of a candidate drug can cost millions – so many chemists are turning to software that provides modelling capabilities and multi-parameter optimisation
Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market
Robert Roe looks back over the year at technology and processes driving trends in the laboratory
Darren Barrington-Light, senior manager product marketing for Thermo Fisher Scientific, explains the importance of integrating LIMS into the pharmaceutical data chain
Welcome to our Laboratory Informatics Guide 2018.
Over the few years that Europa Science has been producing the Laboratory Informatics Guide, one constant has been the fact that the informatics industry does not stand still for long.
In this guide, we look at the effect that artificial intelligence (AI) technology is having on healthcare research, how 2017 was a year of change for laboratory informatics, what the future looks like, and much more.
This year the Paperless Lab Academy (#PLA2018) conference will move to a new location overlooking Lake Maggiore on the southern side of the Alps, near Milan, Italy. The central theme will focus on how to ‘Empower your eData Life Cycle.’
Sophia Ktori reveals the informatics company’s history – and plans for the future
Elsevier’s Jabe Wilson predicts radical changes in the ways AI will be used in scholarly communications
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
