Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
Suppliers' directory
Suppliers' directory
- Laboratory notebooks
- Data Analysis
- Chromatography Data Systems Thermo Fisher Scientific
- Data Acquisition
- Image Analysis and Processing
- Physics and Engineering Instruments
- Spectroscopy Thermo Fisher Scientific
- Statistics
- Visualisation / Graphics
- Modelling and Simulation
- Mathematics, Simulation and Modelling
- Molecular Modelling
- Data Management
- Bioinformatics
- Cheminformatics
- Electronic Laboratory Notebooks IDBS
- Enterprise Resource Planning Software
- LIMS Thermo Fisher Scientific
- Scientific Document Management Systems Thermo Fisher Scientific
Abbott Informatics
The Edge Software Consultancy Ltd
AgiLab
Autoscribe Informatics
Digital Lab Consulting Ltd
IDBS
Abbott Informatics
AgiLab
Autoscribe Informatics
PerkinElmer
Digital Lab Consulting Ltd
Waters
Abbott Informatics
Autoscribe Informatics
Digital Lab Consulting Ltd
- Distributors
- High-Performance Computing
- News releases
Latest issue
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
