Unlocking new treatments with AI
Scientists and researchers are using AI to help accelerate the discovery of new drugs for a wide variety of different medical applications, writes Robert Roe
Scientists and researchers are using AI to help accelerate the discovery of new drugs for a wide variety of different medical applications, writes Robert Roe
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
A round-up of the latest cooling technologies for scientists using HPC to support their research.
With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
Simulation software is helping accelerate battery development, writes Gemma Church
Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for