AI (artificial intelligence) and ML (machine learning) are essential applications for modern laboratories. AI enables the deep mining of data over various databases. ML allows the discovery of insights and linkages that would be otherwise uncovered. These capabilities can accelerate development and lead to innovative directions.

Maximizing data benefits from AI and ML in terms of thoroughness and quality will be determined by the effectiveness of your LIMS (laboratory information management system). Flexibility, reliability, and robustness are important qualities. In addition, data must be harmonized to ensure the comprehensiveness and relevance of results.

For example, new insights can create pharmaceutical objectives, which allow the design of novel molecules in silico and greater modeling accuracy of protein interactions. Insights enabled by AI can be the key to the speeding development of an IND (investigational new drug) application.

As a LIMS stores the data from experiments and sample-centric tests results over a span of time, it can be the source of valuable and verifiable conclusions. Thus, ensuring the harmonization of master data and data produced by individual laboratories is crucial. Relevant data can then be discovered by AI, which may lead to the discovery of valuable correlations.  

LIMS Implementation

A LIMS implementation will greatly benefit from all stakeholders, including laboratory staff and management, documenting their relevant workflow processes. The objective being the discovery of bottlenecks and the optimization of processes. Setting aside AI, this approach will increase the system’s efficiency.

A LIMS in existence for a long period should have its master data reviewed. This is the information users require for its proper operation. The first step is ensuring the master’s data availability in a single location. Non-transactional, core data only undergoes changes when new processes or technology is added.

Below are the two main examples of master data:

1. List of reserved keywords that are not to be used as file names
2. Conventions dictating how capital letters and special characters can be used

The file regarding the above should be easy to find in the system. Updating it should also be easy when changes in the lab(s) are made or after LIMS software updates.

Part 2 will discuss Naming Conventions and International Differences of Master Data.

Alpha LIMS Implementation

Alpha has been involved with the implementation of over 50 LIMS systems ranging in size from small, “off-the-shelf” software systems to very large, highly customized, multi-functional systems, including STARLIMS, for both governmental agencies and private enterprises. For affordable client-focused network consulting services and solutions, please call Alpha today at (410) 295-9500.