Of all the functionality offered by modern LIMS, accurate acquisition and reporting of test results is a central requirement. There are essentially two ways to enter results data into the LIMS – manually or directly from the testing instruments. Entering results manually is clearly quite common, but offers the possibility for transcription errors, especially if the results are first written down in a notebook and then later typed into the LIMS. Direct integration of instrumentation into the LIMS eliminates this possibility and helps meet data integrity and validity requirements. This is particularly important in the pharmaceutical manufacturing industry, where data integrity is critical throughout the cGMP (Good Manufacturing Practice) data life cycle. Data integrity refers to the completeness, consistency, and accuracy of data. Complete, consistent, and accurate data should be attributable, legible, contemporaneously recorded, original or a true copy, and accurate (ALCOA).
Proscia, a leading provider of digital pathology software, today released DermAI™, the first in its series of AI applications that advance the practice of pathology.
Clinipace, will showcase Clarity Stack® clinical technology at the 2019 Drug Information Association (DIA) Annual Meeting. Clarity Stack is an innovative clinical and study data aggregation solution that provides an up-to-date perspective of trial progress with visual insights and a holistic view of study-related information.
Navitas Life Sciences Provides Improved Clinical Trial Oversight and Actionable Insights Enabled by OneClinical™ Analytics, Powered by ThoughtSphere
ThoughtSphere, a fast growing, cloud-based clinical data hub and analytics SaaS company, today announced that Navitas Life Sciences, a full service CRO, and technology-led life sciences service provider, chose ThoughtSphere to power OneClinical Analytics, which is an intelligent digital, clinical analytics platform.
In today’s fast-changing and fast-paced business environment, having an accreditation is critical to your business – but it can also be time consuming and onerous, and failing on something like accreditations can be unfavorable to your business.
Discover how STARLIMS Laboratory Information Management System (LIMS) can support your efforts around ISO 17025, both in achieving and in maintaining your compliance and in helping to relieving the accreditation burden.
DOWNLOAD THE INFOGRAPHIC TO LEARN:
- What ISO 17025 is and why this accreditation important
- What’s new on ISO 17025:2017?
- Advantages of achieving this certification
- How STARLIMS can support your efforts around ISO 17025:2017 accreditation
Many laboratorians and researchers who have investigated open-source laboratory information management systems (LIMS) have run across LabKey Server. LabKey has been especially useful to those working with high-throughput assays, flow cytometry, genotyping/sequencing, proteomics, specimen tracking, and observational study data management. It’s also an extensible LIMS, and as can be seen in this 2019 journal article by Brusniak et al., where they describe the process of updating LabKey to handle “generalized engineered protein compounds workflow that tracks entities and assays from creation to preclinical experiments.” Noting rapid advances in protein therapeutics, the authors developed LabKey into Optide-Hunter to handle optimized peptides (thus, optides) and their production. After discussing its inner workings, the authors conclude that their open-source Optide-Hunter solution fits the bill for a “cost-effective and flexible LIMS for early-stage experimental pipeline development for engineered protein therapeutics development.”
Riverlane, Europe’s most advanced quantum computing software developer, has raised £3.25m in seed funding. Riverlane is building a simulation engine for microscopic systems to replace expensive laboratory tests with computer simulation. Riverlane’s software leverages the capabilities of the quantum computer, which operates using the principles of quantum mechanics. In the same way that graphics processing units (GPUs) accelerate machine learning workloads, Riverlane uses quantum computers to accelerate the simulation of quantum systems.
CloudLIMS June 2019 newsletter is out. It contains information about the latest releases.