Tom Wilkie spoke to Lucas Noldus, whose company produces computerised systems for tracking and observing animal behaviour. The applications, he found, stretch from new drugs to functional genomics
Brian Donnelly, chairman and CEO of GeneticXchange, tells Tom Wilkie about the unexpected similarity between computing for life sciences and computing for big banks.
Scientists are building a seamless, global, astronomical resource: a 'virtual observatory' that will supply data at all wavelengths through a common interface. Vanessa Spedding catches up with European initiatives
If you think the words 'decisive' and 'fast-moving' could not appear in the same sentence as 'government-run utility lab', think again, as one large LIMS company bidding for business recently had to. Vanessa Spedding reports
Brian Donnelly, chairman and CEO of GeneticXchange, tells Tom Wilkie about the unexpected similarity between computing for life sciences and computing for big banks.
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.
