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
Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.
