Bay Labs Announces Collaboration with Edwards Lifesciences to Utilize AI Software to Improve Heart Disease Detection
Bay Labs, a medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging, announced today a collaboration with Edwards Lifesciences focused on improving the detection of heart disease.
Post-genomic era led to a generation of large volumes of data, making it necessary for laboratories to modernize their approach for managing and tracking data. As a result, an increasing trend is observed in laboratories to switch their laboratory operations from paper records to a technologically powerful and secure Laboratory Information Management System (LIMS).
The Memorial Sloan Kettering Cancer Center (MSKCC) in New York City, the world’s oldest and largest private cancer center, uses Laura for PET, LabLogic’s PET/SPECT radiochromatography data collection and analysis software.
Laboratory informatics projects can be extremely complex and costly. LIMS projects, for example, require large investments of money, resources and time – costing anywhere from hundreds of thousands to millions of dollars, while requiring hundreds to thousands of resource hours, to implement. Given the financial, regulatory and operational risk to your organization that a laboratory informatics project represents, it is imperative that you get the project right the first time.
One of the keys to a successful laboratory informatics project is the development of a comprehensive set of functional and technical requirements for the system in question. Properly developed requirements are critical to guide and inform many different aspects of a successful informatics project. Too often, companies fail to do the necessary work in this area and end up deploying a system that fails to realize the potential business benefits that served as motivation for the project in the first place.
Laboratory information management systems (LIMS) capabilities have expanded dramatically in recent years in order to better serve scientific laboratories. As LIMS technology has changed, so has the number of factors that need to be considered when choosing the best LIMS for your laboratory.
A variety of different architectures are now available for modern LIMS, and these different architectures determine the way LIMS are installed, managed and utilized. Key factors to consider when selecting a LIMS is the type of architecture that is best aligned with your business goals, as well as the standards your organization’s IT group has established for IT architecture.
Defining user requirements is not only one of the most important aspects of purchasing a LIMS but frequently one of the most challenging. If it is not dealt with in sufficient detail, it can impact the quoted costs and lead to complications and delays at the later stages of the project. Recognizing the importance of this, we have undertaken a number of user requirement workshops in recent months with prospective customers.
TrendMiner has expanded its advanced self-service analytics capabilities with ContextHub, a new central location for starting a time-series data analytics journey based on contextual information captured, entered or imported from a wide variety of sources.
In the inaugural issue of the journal Energy Informatics, Watson et al. of the University of Georgia – Athens provide research and insight into how databases, data streams, and schedulers can be joined with an information system to drive more cost-effective energy production for greenhouses. Combining past research and new technologies, the authors turn their sights to food security and the importance of developing more efficient systems for greater sustainability. They conclude that an energy informatics framework applied to controlled-environment agriculture can significantly reduce energy usage for lighting, though “engaging growers will be critical to adoption of information-systems-augmented adaptive lighting.”