Research misconduct
21 January 2019
Mark Newton, a consultant from Heartland QA, gives his take on the scale of research misconduct taking place in laboratories
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Laboratory Informatics Guide 2019
How connecting data may lead to discoveries in medical research
21 January 2019
Dr Alexander Jarasch and Professor Martin Hrabe de Angelis explain that novel research methods produce tremendous amounts of data that cannot be analysed with classic analysis tools – so scientists need to look for new approaches, such as graph technology
Managing pharma data integrity
21 January 2019
Darren Barrington-Light, senior manager product marketing for Thermo Fisher Scientific, explains the importance of integrating a LIMS software package into the pharmaceutical data chain
Designing the lab of the future
18 January 2019
Robert Roe talks to laboratory software providers about their plans for the future of the laboratory
A look to the future
18 January 2019
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
Laboratory Informatics Guide 2019 - Full Digital Edition
18 January 2019
Data-driven drug development
18 January 2019
Robert Roe looks at regulatory and technological changes that are changing the way drug development is carried out
Latest issue
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
