Sapio Sciences has announced the release of Exemplar NGS LIMS
Sapio Sciences has released its Exemplar LIMS for tablet computers, such as the Google Nexus 10, Samsung Galaxy Note 10.1 and iPad 2/3/4
Designed to address the needs of pharmaceutical and biotech companies for a single, integrated solution, Exemplar Biomarker Discovery LIMS for personalised medicine has been launched by Sapio Sciences
Sapio Sciences has announced the immediate availability of Exemplar Dx LIMS
Sapio Sciences has released Exemplar LIMS Web Client 1.0, a highly configurable LIMS, ELN and SDMS solution
Sapio Sciences has released Exemplar Lims 4.0, which extends the product's functions in configurability and flexibility
Sapio Sciences has released Exemplar LIMS v3.0.0, extending the product's flexibility and functionality with several new features
Sapio Sciences has launched Exemplar LIMS v2.4.0, which includes a range of new features, including Scheduling Manager and Sapio Synergy functionality.
Sapio Sciences has released Exemplar LIMS v2, which is the latest version of its LIMS system.
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.
