| Unlocking Growth: 7 Essential Factors for Scaling Your NGS Lab Successfully  Successfully scaling a next-generation sequencing (NGS) lab takes careful preparation. Myriad complexities are involved, any of which could cause delays and extra expense. Whether your lab has been intending to scale up for some time or you’re responding to a high-pressure situation, like a pandemic, you need to have a plan in place. To help you get started, we’ve put together a list of things to consider. [Read More]
Can adding a LIMS to my lab really save time and money?  Adding a LIMS can save your lab time and money. Two of the biggest time drains in the laboratory are workflow inefficiency and disorganization. If your lab team is constantly hunting for paper records, scrolling through spreadsheets, or manually transcribing data, it takes away time from performing more tests or taking on additional business with a new customer. [Read More]
Xybion Completes Acquisition of Autoscribe Informatics, to Expand its Laboratory Information Management System (LIMS) Business  Xybion Corporation, herein referred to as “Xybion” or the “Company,” is pleased to announce the acquisition of Autoscribe Informatics (“Autoscribe”). This acquisition represents a significant strategic expansion in the Company’s Laboratory Information Management System (LIMS) business globally. [Read More]
Why Platform Technologies (iPaaS) Are Critical in the Life Sciences  Every industry has embraced the idea that digital technologies need to be fully integrated in the business processes to ensure successful competition. In the era of Industry 4.0, your organization’s data (digital assets) are now recognized as your most valuable assets. Within the life sciences, however, there are many constraints of the scientific operating environment. [Read More]
Industries in LIMS – PART 1  Laboratory Information Management Systems (LIMS) are transforming multiple industries. In this blog post, we’ll explore industries where LIMS is playing a crucial role by revolutionizing processes and ensuring compliance with strict standards. Before delving into the examination of industries, let’s not forget that there are many new and upcoming industries, as well as emerging scientific technologies, that can be explored and supported by LIMS. [Read More]
Addressing Privacy and Security Concerns of Apps in the Lab  As hands-free lab note-capturing technology becomes more prevalent, it is crucial to address the privacy and security concerns associated with voice recognition and mobile or wearable devices. In this blog post, you'll read about the different data privacy and security concerns you may face and how LabTwin, the leading voice-powered digital lab assistant, has addressed them.[Read More]
What is laboratory informatics and why is it important?  Laboratory informatics is the use of information technology to support a lab’s testing mission, which goes beyond data management to support all aspects of lab operations. Implementing an informatics solution helps laboratories adapt and enables benefits such as lab management, productivity, quality control, process improvement, data integrity, security and privacy, industry and regulatory compliance, and customer service.[Read More]
Maximizing insights during therapeutics antibody discovery and development  When developing therapeutic antibodies, selecting only the strongest candidates for further clinical development increases the chances of successful clinical trials. The important decision of candidate selection can only be done right with high quality, accessible data from which insights can be easily drawn. [Read More]
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"Artificial intelligence" (AI) may seem like a buzzword akin to the "nanotechnology" craze of the 2000s, but it is inevitably finding its way into scientific applications, including in the materials sciences. In this December 2022 article published in npj Computational Materials, Sbailò et al. present their AI-driven Novel Materials Discovery (NOMAD) toolkit as an extension of their NOMAD Repository & Archive, focused on making materials science data FAIR (findable, accessible, interoperable, and reusable), as well as AI-ready. After introducing the details of their workspace and goals towards adding notebook-based tools to the NOMAD Repository & Archive, the authors dive into the details of NOMAD AI Toolkit. They close by noting their toolkit "offers a selection of notebooks demonstrating such [AI-based] workflows, so that users can understand step by step what was done in publications and readily modify and adapt the workflows to their own needs." They add that the system "will allow for enhanced reproducibility of data-driven materials science papers and dampen the learning curve for newcomers to the field."