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.
Laboratory Informatics Guide 2018
Taking aim at LIMS software
1 March 2018
Robert Roe looks at the use of precision medicine and its potential impact on laboratory informatics software
Data lakes and cloud computing
1 March 2018
Data types used are advancing from the simple text formats of old, writes Paul Denny-Gouldson
Synergy between man and machine
1 March 2018
The failure of a candidate drug can cost millions – so many chemists are turning to software that provides modelling capabilities and multi-parameter optimisation
The future of laboratory informatics
1 March 2018
Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market
2017: A year of disruption in the laboratory?
28 February 2018
Robert Roe looks back over the year at technology and processes driving trends in the laboratory
Artificial intelligence reshapes the future of medicine
28 February 2018
Robert Roe explores the use of AI technology in healthcare and medicinal research
Latest issue
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.