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.
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
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.
