| 10/12/2022 - What Should You Realistically Expect to Pay for a LIMS?  Whether a lab is selecting a LIMS for the first time or replacing an old system, there are many factors that will affect the total cost of the new LIMS. Learn more about what your lab needs to consider so you can budget effectively and avoid unwanted surprises. [Read More]
10/12/2022 - Guide to Lab Security with a LIMS  Cybercrime is so pervasive that new data breaches seem to scatter personal information across the internet every day. An attack can hit any organization at any time. Laboratories face a particular challenge as they balance security with collaboration. Should hackers breach a laboratory’s systems, the resulting data loss can have severe financial, legal, and reputational consequences. This guide provides an overview of the cybersecurity landscape and explains how a laboratory information management system (LIMS) can improve lab security. [Read More]
10/12/2022 - Introducing STARLIMS Technology Platform V12.4  STARLIMS is pleased to announce the release of STARLIMS Technology Platform v12.4 (TP v12.4). This new release is available as an upgrade to all STARLIMS v10 – v12 customers. Upgrading the Technology Platform of your STARLIMS system is a quick and easy process that will bring new features, performance enhancements and other fixes to your system. [Read More]
10/12/2022 - LIMS for diagnostic & research labs involved in molecular, cytology, histology, NGS, NBS, translational medicine & bio-banking  Modern specialty diagnostic laboratories need an integrated LIMS that can handle molecular diagnostics, cytology, histopathology, NGS, FLOW, biochemistry, genetic cytology (Cyto / FISH)and microbiology related processes in a single system. Advanced detection of mutations, abnormalities in cells, chromosomes, karyotypes, DNA, gene, enzymes studies and biomarkers are very helpful in identification of potential source of disease and better patient care. [Read More]
10/12/2022 - Operationalizing Machine Learning in the Laboratory  In previous blogs we have shown how the Data Analytics Solution can be utilized in many different laboratory scenarios to help identify bottlenecks using Business Intelligence Capability, and then reduce testing and forecast sample throughput using the Machine Learning Capability. In this blog we will show how the Machine Learning (ML) models that have been built can be automatically trained, and how they can be operationalized within Thermo Scientific™ SampleManager™ LIMS itself – without the need to utilize external applications or platforms. [Read More]
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While this 2022 article published in Environment, Development and Sustainability isn't directly about laboratories and informatics system, its discussion of quality management systems (QMSs) and environmental management systems (EMSs) remains highly relevant to the regulatory- and competition-driven laboratory of today. As Ronalter et al. note, "growing societal and political focus on sustainability at the global level" places further pressure on businesses "to enhance their environmental, social, and governance (ESG) performance to satisfy respective stakeholder needs and ensure sustained business success"; laboratories and even laboratory software developers are not exempt from these pressures. The authors directly connect QMSs and EMSs to ESG performance in this paper, while highlighting "how combining these management systems can impact a corporation’s sustainable performance." Their study of ESG data is presented, and they conclude that adoption of such management systems "leads to positive developments" in workforce management, customer management, and supplier and stakeholder management, as well as in environmental efforts.
