Every lab manager knows that good data is essential for advancing science — whether it’s to track trends, confirm or disprove hypotheses, or compare results across experiments. But what’s the best way to ensure decisions are based on good data in your lab environment? Modern clinical diagnostic labs generate a wealth of valuable data through the use of numerous tools and applications. All this data can end up stored in multiple locations or silos, including the laboratory information management system (LIMS). [Read More]

While there are approximately 200 used oil analysis laboratories (sometimes called “oil condition monitoring” (OCM) labs) in North America alone, with the industry expected to grow to $1.4B by 2026, some believe used oil analysis may be one of those things we never see again, like eight-track tapes and disposable cameras. With the advancement of sensor technology, electrification replacing internal combustion engines, and the trend for in-house oil analysis laboratories, the market may diminish for the traditional, large, commercial OCMs. [Read More]

Therapeutic antibodies are now the predominant class of new drugs. Advancing safe, effective antibodies to the clinic requires narrowing a pool of thousands of candidates using high-throughput microplate-based assays. Designing plate aps for these assays using Excel or outdated digital tools is a time-consuming task prone to error, slowing the screening process and leading to critical errors in data analysis. Using LIMSense, a modern LIMS from AduroSys, can improve data quality, reduce costs, and ensure the most effective antibodies reach patients. [Read More]

In the dynamic landscape of pharmaceutical and biotech industries, L7 Informatics is leading the charge in transforming traditional operations through digital innovation. With a firm focus on cost reduction, clinical improvements, and reducing tech-transfer times, L7 Informatics is revolutionizing the way companies research, develop, and manufacture while also prioritizing the well-being of patients and providers, thereby paving the way for a future where patients receive better treatments, at lower costs. [Read More]

The scientific workplace is evolving with an increasing focus on collaboration, inclusivity, and interdisciplinary research. Scientists from different fields and specialties are coming together to solve complex problems, necessitating a new type of lab that promotes teamwork and idea-sharing. This has led to the rise of open lab spaces with flexible, modular designs that can quickly be adjusted to meet the constantly changing needs of science. [Read More]

Digital twins. This concept might sound like science fiction, but it’s actually a powerful scientific tool that could transform Research and Development (R&D) in the pharmaceutical and biotechnology industries. This cutting-edge technology can change the way researchers work and open up new possibilities for groundbreaking discoveries in the future of R&D labs. [Read More]

The US Food and Drug Administration (FDA) has released a draft guidance document on decentralized clinical trials (DCTs) for drugs, biological products, and medical devices. This guidance outlines the FDA’s recommendations for designing, executing, and evaluating these trials and provides guidance on ensuring patient safety and the accuracy of the data generated. [Read More]

Laboratory information management systems (LIMS) can contribute to a laboratory's successful quality system by allowing for a lab to ultimately remain organized. LabLynx offers a customized LIMS that can be configured depending on the industry while remaining in accordance with reporting and operating guidelines. The built-in capabilities of LabLynx ELab LIMS will help you stay in compliance with CLIA, HIPAA, 21 CFR Part 11, ISO/IEC 17025, FDA, EPA, and more. [Read More]

In this 2023 article published in the Indonesian journal Matrix: Jurnal Manajemen Teknologi Dan Informatika, Ifriza et al. present their approach to developing a laboratory-based information system for monitoring the condition and maintenance of instruments at the laboratories of the Faculty of Mathematics and Natural Sciences, State University of Semarang (FMIPA UNNES). After providing a brief introduction, the authors discuss their methodology to developing such a software system, as well as the results, which are explained in terms of the five enterprise architecture planning (EAP) steps used to develop it. The authors conclude that "[b]ased on the results of the study, it can be concluded that the use of laboratory systems for monitoring and maintenance in laboratory management has proven to be very valid."