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.
Through the use of cutting-edge simulation, software engineers are developing innovative new wind energy technology and increasing the efficiency and durability of wind turbines. The drive to find sustainable energy sources is one of the most pressing concerns facing society.
Dame Sally Davies, the outgoing Chief Medical Officer for England, pulls no punches when it comes to the threat of antibiotic resistance. She has called for an ‘Extinction Rebellion-type’ response to it, describing it as ‘catastrophic’ and ‘as dangerous as climate change’
The Pistoia Alliance has been pioneering initiatives that will support organisations as they work to enable and engage Fair (findable, accessible, interoperable, reusable) principles of data management and stewardship in their organisations.
Achronix and Bittware collaborate on a new FPGA designed for cloud, AI and machine learning applications, writes Robert Roe
By increasing the energy efficiency of a supercomputer scientists can save huge amounts of money over the total lifecycle of the system. With ever-increasing core counts and increasingly large supercomputers, the drive for increased computational power comes at a cost.
