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SciNote CEO Dr Klemen Zupancic discusses the challenge of improving reproducibility in science using ELN technology
Robert Roe takes a look at the strategies used by laboratory managers to make efficient use of cloud resources
Wes Childs, senior director for engineering at IDBS, highlights how the cloud can help organisations accelerate drug discovery
For the potential for AI and machine learning methods in drug development to be realised, companies and organisations are forming partnerships to better understand and develop these technologies, writes Sophia Ktori
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.
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.
