Featured Laboratory Articles & Applications

  1. 3 Steps To Prepare For FDA’s Final Quality Metrics Guidance

    Reacting to trends, including drug shortages and plant inspections that increasingly question manufacturing data integrity, FDA’s recent draft guidance Request for Quality Metrics promotes a “quality-driven corporate culture” as one of its goals.

  2. Digitally Transforming Laboratory Operations

    “Digital transformation” is a common buzzword across industries today, but is it more than just jargon?  Faced by shifting consumer demand, rapidly evolving technology and increasing competition, organizations — to a large extent from science-based industries — are realizing that business as usual (or only incremental change to traditional approaches) does not address today’s challenges in a sustainable, long-term way.

  3. Quality By Design In Biopharma R&D: Bringing Quality Forward Pays Off

    With biologics filling the pipelines of life sciences companies more than ever, the biopharmaceutical industry needs to rethink its view of quality. Once primarily considered a focus in downstream drug development and manufacturing, quality now demands just as much attention in upstream discovery research.

  4. Can The Cloud Prevent Collaboration Failure In Biopharma?

    Working in a cloud-based information management and collaboration workspace provides a level of business agility and security that is not available with server-based, on-premises infrastructure. 

  5. Mass-Market To Niche: Food And Beverage Companies Can Shift Direction To Remain Competitive

    The food and beverage industry is facing a crossroads. Thanks to the internet and increased access to information, today’s consumers have diversified into many subgroups, each wanting different things. Some want to sample exotic flavors that they learned about via social media. Others will only buy organic food and ingredients because of something they read on a blog. Baby Boomers look for healthy-for-them products. Millennials desire authenticity and sustainability. How can companies keep up with these shifting, often contrasting demands?

  6. How To Avoid The Top 5 Most Common Mistakes In LIMS Selection

    LIMS Selection is no small task. A laboratory information management system (LIMS) represents a central hub for managing many of the operations in the modern laboratory. Originally, LIMS were designed to be a simple sample tracking tool, enabling systematic control of workflows in regulated environments. Recent years have seen the evolution of LIMS into more of an enterprise resource planning tool that can manage multiple aspects of laboratory informatics – resource management/scheduling, assay data management, data mining, data analysis, case-centric clinical data, and electronic laboratory notebook (ELN) integration.

  7. 8 Principles For Successful LIMS Implementation

    The modern laboratory produces vast amounts of data from a wide variety of sources that are too often not integrated. With the advent of high throughput technologies, both the quality and quantity of information is increasing dramatically. At the same time, R&D partnerships continue to increase, with data flowing increasingly across organizational boundaries. Taken together, these trends contribute to significant data management challenges for both small and large organizations alike. One of the most common methods for managing these challenges is to implement a Laboratory Information Management System (LIMS) as a way to automate the business processes and data capture associated with laboratory workflows.

  8. The Advantages Of Creating A Flexible Workforce

    The economic downturn in 2008, which began with the bursting of an 8 trillion dollar housing bubble, had a substantial impact on the job market. In 2008 and 2009, the U.S. labor market lost 8.4 million jobs, or 6.1% of all payroll employment, producing by far the largest labor contraction of any recession since the Great Depression.

  9. Outsourcing Your Next Laboratory Informatics Project

    As the complexity of the global R&D environment has grown over the last several decades, biopharma companies have found it increasingly difficult to accomplish scalable growth with their in-house team alone. This has led to the practice of outsourcing becoming commonplace as a way to reduce costs.

  10. Moving Your Laboratory IT Infrastructure To The Cloud? Consider Nearshoring With An MSP

    Although many think of cloud computing (SaaS, IaaS, PaaS) as a 21st century invention, its development was more of a gradual evolution that began back in the 1950’s when multiple users on “dumb” terminals were connected via a central mainframe computer. Today, cloud computing has taken the business world by storm, offering to improve business agility and scalability, increase computing power, storage capacity, and scientific collaboration, all while reducing the Total Cost of Ownership (TCO).