Accelerated Technology Laboratories (ATL), has announced today that its ATL Sample Master Laboratory Information Management System (LIMS) has been verified as Citrix Ready
Accelerated Technology Laboratories, (ATL) has announced that it is expanding its global partner program with the following additions to its ATL Certified Sales Agent program
Accelerate Technology Laboratories (ATL) has launched the XL BOD Master, a new product aimed at wastewater laboratories
Accelerated Technology Laboratories (ATL) has introduced Sample Master LIMS 8.5, its flagship LIMS product, which features a range of user-suggested enhancements
ATL's Sample Master product line provides a total laboratory automation and data management solution that brings the ease and familiarity of Windows-based, point-and-click operability to the laboratory.
Sample Master Result Point provides users access to real-time statuses and results via the Internet and Intranet. Users also have access to XML web reports and downloadable reports.
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.
