Thermo Electron has extended its protein identification software package with BioWorks 3.3, which enables automated quantitative analysis of iTRAQ, SILAC and ICAT labelled samples, as well as label-free quantitation techniques.
Thermo Electron Corporation provides an independent update for instrument control, allowing laboratories to add the latest instrumentation and interface it with Thermos Atlas chromatography data system (CDS).
Thermo Electron Corporation has updated Darwin LIMS to allow easier integration. Darwin LIMS is a commercial-off-the-shelf (COTS) laboratory information management system (LIMS) designed specifically for pharmaceutical manufacturing R&D and QA/QC.
Thermo Electron has developed two new versions of its reporting software packages, EnviroLab Forms 2.0 and ToxLab Forms 2.0,which offer scientists workflow-oriented approaches to GC/MS analyses.
Thermo Electron has added several new software products to its Proteomics application suite, including SIEVE, a label-free differential expression analysis software, BioWorks 3.3, Tissue Imaging and ProSightPC.
Thermo Electron has re-engineered SampleManager LIMS 9.0, an updated version of its flagship laboratory information management system (LIMS) for global enterprises.
Thermo Electron has updated its LIMS for global enterprises. SampleManager Version 9.0 is built on the Microsoft .NET platform, incorporates a Service Oriented Architecture, and has a new user interface.
Thermo Electron has launched its QuickQuan software for automating high-throughput LC-MS/MS assays in early drug discovery, to automatically assess new chemical entities (NCEs) in early drug-development assays.
Thermo Electron releases SampleManager to combine collection scheduling, efficient route preparation and other pre-test activities in a single LIMS.
Thermo Electron has developed a new datasheet on the Atlas CDS, available free in PDF or printed format, which addresses the benefits of standardising on a single solution.
In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) platform for detecting diabetic retinopathy in people with diabetes.
At the end of February physIQ and the US Department of Veteran’s Affairs published data from a clinical trial demonstrating the use of physIQ’s machine-learning algorithm to predict when an individual patient with previously diagnosed heart failure will likely require a readmission to hospital.
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
New processors and GPU technology continue to demand more power than the previous generations, combining this with increasingly dense architectures requires cooling solutions such as liquid or immersion cooling.
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
European researchers are working on a new programming environment for exascale computing that aims to make using these systems more efficient and programmers more productive.
