Certara, a provider of model-informed drug development and regulatory science, has announced that it has acquired Analytica Laser
Certara, the global leader in model-informed drug development and regulatory science, today announced the launch of its Quantitative Systems Pharmacology (QSP) Immuno-oncology Simulator Consortium
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 looks back over the year at technology and processes driving trends in the laboratory
Certara, a provider of model-informed drug development and regulatory science, today announced that it has published two papers demonstrating proof of concept for its Virtual Twin technology
Certara, has announced the launch of version 10 of D360, its data informatics platform for discovery scientists
Certara, a developer of model-informed drug development and regulatory science, has announced that it has acquired BaseCase Management GmbH, a data visualisation software as a service (SaaS) company headquartered in Berlin, Germany, with offices in New York
Certara, a provider of software for model-informed drug development and regulatory science, today announced that the Brazilian National Health Surveillance Agency – ANVISA (Agência Nacional de Vigilância Sanitária) – is now also employing Certara’s Phoenix WinNonlin software for reviewing drug regulatory submissions
Certara a developer of software for model-informed drug development and regulatory science, has announced that it has launched version 17 of its Simcyp Population-based Simulator.
Certara, a provider of software for in model-informed drug development and regulatory science, has announced the launch of Phoenix 8.0
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment