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
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
