Precision therapeutics refers to the new classes of treatments that have been developed to treat diseases with specific characteristics, whether it be genetic defects, immunological deficiencies, or molecular profiles. MES as part of a manufacturing operations management application suite can intensely improve problems in manufacturing precision therapeutics. [Read More]

Good laboratory practice, or GLP, is a quality system of management concerned with the organizational process and conditions of non-clinical laboratory testing. The most central elements of GLP are record-keeping and the maintenance of attributable, original, accurate, and traceable reports and critical documents. Adding a laboratory information management system (LIMS) to any lab can help easily meet the requirements to ensure GLP adherence. [Read More]

Clinical research involving human subjects is crucial for the development of new treatments, drugs, and therapies, but it must be conducted in an ethical manner that protects the rights and well-being of the participants. Informed consent is the cornerstone of ethical research, requiring that participants or donors are provided with sufficient information about the study to make an informed decision about whether to participate or not. [Read More]

Data has become an invaluable asset for organisations, including laboratory data.  However, accessing laboratory data has been a challenge, as many LIMS applications rely on outdated technologies and systems. But with the advent of modern data analysis tools like Business Intelligence (BI) and Artificial Intelligence (AI), the field of data science has become more accessible. In this blog article, we will explore QLIMS Business Intelligence  which helps organisations to visualise the data and convert it into knowledge. This is the first part of our series on QLIMS BI. Stay tuned for the second part. [Read More]

Data migration with ETL Tools can be a deceptively complex process and challenges can appear suddenly without a comprehensive plan. This is not uncommon when project teams focus on system configuration and software customization and delay the data migration. This is a mistake that can cause major delays and threaten business continuity. This checklist summarizes best practices for migration planning with the support of automated Extract-Transfer-Load (ETL) tools. [Read More]

Since the launch of the program over a decade ago, Feed the Future has developed a network of top US universities and global research and educational institutions to create Feed the Future Innovation Labs. These specialized labs are tackling some of the world's greatest challenges in agriculture and food security, from developing aquaculture and climate-resistant crops to improving pest management methods and animal health. [Read More]

Your manufacturing execution system (MES) can be a valuable part of your organization’s data management plan—if you are using it to its full potential. Is your MES integrated with your laboratory information management system (LIMS) or your enterprise resource planning (ERP) software? If you are operating in the life sciences industry, has your MES been validated for its intended use? If you haven’t thought about your MES as a vital part of your broader organization, you’re not alone. In this blog post, we’ll share why you should consider bringing your MES more fully into your informatics strategy. But first, a little history. [Read More]

Most American consumers are unaware of the rigorous testing processes that take place before a new drug hits the market. Highly effective and reliable testing is essential for new pharmaceutical products that can help improve health conditions and life quality to reach the end patient. The right Laboratory Information Management System (LIMS) can help a laboratory improve all of its operations and efficiencies, including the highly-detailed process of pharmaceutical testing. [Read More]

While the management of digitally created data and information is largely in the scope of regulators, standards organizations, and company management these days, the non-trivial surplus of analog data and information (e.g., printed tables, field notebooks, photographs, drawings, maps, etc.) and what to do with it still weighs upon on the research community. Older data has long had uses in retrospective and current research, yet few large-scale solutions for making this analog data and information more FAIR (findable, accessible, interoperable, and reusable) have been developed. Kelly et al. emphasize this in their 2022 research published in the Data Science Journal and address what they consider should be a set of best practices to managing historic analog data and information. After proving background history on the concerns surrounding older analog data, the authors discuss ways that older analog data is currently and can be used, and they highlight the challenges that come with attempting to reuse such data. They then provide some possible paths forward with a best practice approach, before concluding that "[b]est practices (including selection of metadata schema, developing a data dictionary, describing data collection methods) and policies developed to govern the preservation and dissemination of digital data could serve as an example for developments concerning analog data."