December 21, 2023
Laboratory Informatics Weekly Update

Volume 21, Issue 50


In This Issue

 Featured Books

The Complete Guide to LIMS and Laboratory Informatics

 Featured Content

What are the alternatives to a LIMS?

Alternatives to LIMS such as paper-based systems, spreadsheets, databases, and ERP systems can work for small, lightly regulated labs. but increasing competition and regulatory oversight stretch these tools to their limits, showing their weakness compared to a well-designed, purpose-built LIMS. Labs of today are more complex, requiring more modern tools like LIMS to better automate processes and methods. [Read More]

How is AI Used in Labs?

Technology is advancing at an unprecedented pace, with Artificial Intelligence (AI) transforming various industries, including laboratories. With AI revolutionizing laboratory operations, it’s time to explore how it enhances efficiency in the future of scientific innovation. [Read More]

Harnessing AI for Efficient LIMS Validation

There are a number of features of artificial intelligence (AI) that make it well suited for use in software validation. Some of these features are its capacity for pattern recognition and the ability to learn and adapt continuously. An emerging use for AI is in laboratory information management system (LIMS) validation. A LIMS is instrumental in laboratory data management. In recognition of the need for enhanced efficiency and accuracy, AI is increasingly integrated with the data in LIMS and has become a game changer. [Read More]

How a LIMS enhances environmental monitoring

Communities around the world are requiring greater accountability and demanding more reliable and capable software systems for monitoring and testing drinking water, ground water, wastewater, soil, and air quality. Meeting these growing needs and continuing to deliver the active role that analytical testing laboratories play in safeguarding public health requires advanced tools that enhance every aspect of environmental monitoring. [Read More]

LIMS for R&D Laboratories

In Research and Development (R&D) labs, innovation is the most crucial aspect, and the data generated during the process holds the key to unlocking new possibilities. However, many labs face the challenge of efficiently managing vast amounts of data. This article explores how cutting-edge Laboratory Information Management Systems (LIMS) provide solutions to these challenges and pave the way for streamlined R&D operations. [Read More]

What are 10 reasons why my lab should buy a LIMS?

A LIMS offers various benefits to labs, from efficiency improvements and data accuracy to enhanced reliability, compliance, security, data management, organization, and decision-making capabilities all while reducing costs. Also consider that a LIMS solution can integrate with electronic laboratory notebooks, instruments and devices, and third-party software for a seamless laboratory operation. [Read More]

The Future of Lab Productivity: Consolidated LIMS

When it comes to laboratory testing, data is mission critical for laboratories. It provides lab managers with the information they need to evaluate samples, identify patterns, and make decisions, ensuring successful experiments and results. And yet, it is not uncommon for labs to find themselves buried under the weight of inefficient workflows, numerous testing processes, and a deluge of mismanaged data — and many labs are still operating on pen and paper. [Read More]

 Journal Articles

12/12/2023 - Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood

In this brief paper published in the EFSA Journal (from the European Food Safety Authority), Pineda-Pampliega et al. of the Norwegian Scientific Committee for Food and Environment (VKM) discuss the specifics of their work-related project to see "if existing commonly used [food safety] databases in risk assessment are in line with the FAIR principles" (which ensure data and information is findable, accessible, interoperable, and reusable), as well as to determine how to improve deficiencies in meeting FAIR principles. The authors describe their approach using data from both the EFSA's Chemical Hazards Database, OpenFoodTox, and the Institute of Marine Research's Seafood database. After evaluating these databases and describing the necessary framework activities to make them more FAIR, the authors conclude that their methods of using the R programming language, Shiny, GitHub, Zenodo, and appropriate file formats "is an essential step to ensuring the success of the future risk–benefit assessment [towards food safety], by offering more timely results with adequate spending of human and economic resources."

 Upcoming Webinars

02/07/2024 - Astrix Webinar – Laboratory Data Systems Consolidation

01/25/2024 - Webinar: How to Gather Requirements and Implement a LIMS That Will Meet Your Current and Future Needs

01/17/2024 - Astrix Webinar – Selecting and Implementing a LIMS for a Pharma QC Laboratory

Become a Sponsor
LabLynx, Inc.
OnQ Software
CSols Inc.
Adurosys Inc.
Astrix Technology Group
Autoscribe / Autoscribe Informatics, Inc.
Blaze Systems Corporation
Computing Solutions, Inc.
Kalleid, Inc.
L7 Informatics, Inc.
LIMS Wizards
SCC Soft Computer
STARLIMS Corporation
Semaphore Solutions
E-mail your feedback or questions to us at: Mail us: LabLynx, Inc. P.O. Box 2605 Pensacola, FL 32513 Telephone: 866-LabLynx (522-5969)