ACD/Labs has released ACD/ChemAnalytical Workbook, an all-in-one experiment, workflow, and data management tool that allows scientists to document analytical information
Agilent Technologies has introduced an enhanced version of its Dissolution Workstation Software, providing better data integration, method change control and instrument monitoring for controlling multiple dissolution systems
Cresset, a provider of chemistry software and services, has released the GPU version of Blaze, the leading virtual screening platform
ChemAxon, a leader in chemistry software solutions and consulting services for life science research, has announced version 6 of its cheminformatics suite
Optibrium, a developer of software for drug discovery, has released version 5.4 of its StarDrop™ software platform
Certara, a provider of software and scientific consulting services to improve productivity and decision-making from drug discovery through clinical development, has announced a partnership with ChemAxon
The cloud-based Accelrys HEOS information management and collaboration workspace is now live on the BT for Life Sciences R&D cloud platform
ACD/Labs has announced the commercial availability of ACD/Spectrus DB
Optibrium and Lhasa, providers of software for compound design, selection and property prediction, have announced a technology collaboration agreement
Accelrys, a provider of scientific innovation lifecycle management software, has announced new chemistry information management possibilities for research scientists arising from its cooperation with Elsevier
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
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
